Afleveringen

  • Revolutionizing PDEs with PROSE-PDE, Secure AI Chip for Privacy, Enhancing Crop Image Data, and Japanese Heron-Bench for VLMs

    Revolutionizing PDEs with PROSE-PDE, Secure AI Chip for Privacy, Enhancing Crop Image Data, and Japanese Heron-Bench for VLMs

    · Simply AI

    Discover groundbreaking research on solving and extrapolating partial differential equations with PROSE-PDE. Learn about a secure AI chip that safeguards user data on smartphones. Explore the innovative method of enhancing crop image data for improved accuracy. Dive into the Japanese Heron-Bench, a novel AI benchmark for evaluating Japanese capabilities of Vision Language Models (VLMs). Join us as we delve into these cutting-edge advancements in AI and their potential impact on various scientific domains.Sources:https://www.marktechpost.com/2024/04/22/prose-pde-a-foundation-model-for-solving-and-extrapolating-partial-differential-equations/https://news.mit.edu/2024/tiny-chip-safeguards-user-data-while-enabling-efficient-computing-0423https://www.nature.com/articles/s41598-024-59918-3https://www.marktechpost.com/2024/04/22/japanese-heron-bench-a-novel-ai-benchmark-for-evaluating-japanese-capabilities-of-vision-language-models-vlms/Outline:(00:00:00) Introduction(00:00:47) PROSE-PDE: A Foundation Model for Solving and Extrapolating Partial Differential Equations(00:03:47) This tiny chip can safeguard user data while enabling efficient computing on a smartphone(00:07:28) SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN(00:10:28) Japanese Heron-Bench: A Novel AI Benchmark for Evaluating Japanese Capabilities of Vision Language Models VLMs

  • Advancements in NLP and Holography, COCONut Dataset for Segmentation Models, and DL Model Deployment Techniques

    Advancements in NLP and Holography, COCONut Dataset for Segmentation Models, and DL Model Deployment Techniques

    · Simply AI

    Discover the latest research on extending NLP context windows, improving 3D holographic image quality with deep learning, the COCONut dataset for next-gen segmentation models, and model deployment and serving techniques in the world of AI. Join us as we explore these groundbreaking advancements and their implications for the future of natural language processing, holography, computer vision, and deep learning model deployment.Sources:https://www.marktechpost.com/2024/04/21/this-ai-paper-from-peking-university-and-microsoft-proposes-longembed-to-extend-nlp-context-windows/https://www.koreaittimes.com/news/articleView.html?idxno=130793https://www.marktechpost.com/2024/04/21/coconut-a-high-quality-large-scale-dataset-for-next-gen-segmentation-models/https://medium.datadriveninvestor.com/dl-tutorial-38-model-deployment-and-serving-techniques-673c530266c2Outline:(00:00:00) Introduction(00:00:42) This AI Paper from Peking University and Microsoft Proposes LongEmbed to Extend NLP Context Windows(00:03:16) Improving 3D Holographic Image Quality with Deep Learning(00:05:13) COCONut: A High-Quality, Large-Scale Dataset for Next-Gen Segmentation Models(00:09:07) DL Tutorial 38 — Model Deployment and Serving Techniques

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  • Advancements in Machine Learning: DPO, Historical Bias, Causal AI, and Medical Image Segmentation

    Advancements in Machine Learning: DPO, Historical Bias, Causal AI, and Medical Image Segmentation

    · Simply AI

    Researchers at Stanford University explore Direct Preference Optimization (DPO) in machine learning. Uncover the hidden biases in machine learning with a look at historical bias. Understand the bridging gap between correlation and causation with Causal AI. Discover a new AI method that captures uncertainty in medical images. Stay informed about the latest advancements in machine learning and their implications for various industries.Sources:https://www.marktechpost.com/2024/04/20/researchers-at-stanford-university-explore-direct-preference-optimization-dpo-a-new-frontier-in-machine-learning-and-human-feedback/https://towardsdatascience.com/un-objective-machines-a-look-at-historical-bias-in-machine-learning-da5101d46169https://www.marktechpost.com/2024/04/20/understanding-causal-ai-bridging-the-gap-between-correlation-and-causation/https://news.mit.edu/2024/new-ai-method-captures-uncertainty-medical-images-0411Outline:(00:00:00) Introduction(00:00:40) Researchers at Stanford University Explore Direct Preference Optimization (DPO): A New Frontier in Machine Learning and Human Feedback(00:03:26) (Un)Objective Machines: A Look at Historical Bias in Machine Learning(00:07:08) Understanding Causal AI: Bridging the Gap Between Correlation and Causation(00:10:35) New AI method captures uncertainty in medical images

  • Google DeepMind Unveils Penzai: A Revolutionary AI Library for Neural Networks

    Google DeepMind Unveils Penzai: A Revolutionary AI Library for Neural Networks

    · Simply AI

    Introducing Penzai, the cutting-edge JAX library by Google DeepMind that transforms neural network development. Stanford researchers evaluate the faithfulness of RAG models and the impact of data accuracy. AI-driven network optimization revolutionizes predictive maintenance and traffic management. Carnegie Mellon University introduces AgentKit, a natural language-based framework for building AI agents.Sources:https://www.marktechpost.com/2024/04/19/google-deepmind-releases-penzai-a-jax-library-for-building-editing-and-visualizing-neural-networks/https://www.marktechpost.com/2024/04/19/how-faithful-are-rag-models-this-ai-paper-from-stanford-evaluates-the-faithfulness-of-rag-models-and-the-impact-of-data-accuracy-on-rag-systems-in-llms/https://www.marktechpost.com/2024/04/19/network-optimization-with-ai-exploring-predictive-maintenance-and-traffic-management/https://www.marktechpost.com/2024/04/19/this-ai-paper-from-cmu-introduces-agentkit-a-machine-learning-framework-for-building-ai-agents-using-natural-language/Outline:(00:00:00) Introduction(00:00:56) Google DeepMind Releases Penzai: A JAX Library for Building, Editing, and Visualizing Neural Networks(00:04:06) How Faithful are RAG Models? This AI Paper from Stanford Evaluates the Faithfulness of RAG Models and the Impact of Data Accuracy on RAG Systems in LLMs(00:08:07) Network Optimization with AI: Exploring Predictive Maintenance and Traffic Management(00:11:47) This AI Paper from CMU Introduces AgentKit: A Machine Learning Framework for Building AI Agents Using Natural Language

  • MEGALODON: Efficient Sequence Modeling Breakthrough, SIMA Project Enhances AI Performance

    MEGALODON: Efficient Sequence Modeling Breakthrough, SIMA Project Enhances AI Performance

    · Simply AI

    Introducing MEGALODON, a deep learning architecture for efficient sequence modeling with unlimited context length. Google DeepMind's SIMA project enhances agent performance in dynamic 3D environments across various platforms. Plus, modeling irrational human behavior for better AI helpers and a new AI method that captures uncertainty in medical images.Sources:https://www.marktechpost.com/2024/04/18/megalodon-a-deep-learning-architecture-for-efficient-sequence-modeling-with-unlimited-context-length/https://www.marktechpost.com/2024/04/18/google-deepminds-sima-project-enhances-agent-performance-in-dynamic-3d-environments-across-various-platforms/https://news.mit.edu/2024/building-better-ai-helper-starts-with-modeling-irrational-behavior-0419https://news.mit.edu/2024/new-ai-method-captures-uncertainty-medical-images-0411Outline:(00:00:00) Introduction(00:00:46) Megalodon: A Deep Learning Architecture for Efficient Sequence Modeling with Unlimited Context Length(00:03:41) Google DeepMind’s SIMA Project Enhances Agent Performance in Dynamic 3D Environments Across Various Platforms(00:07:37) To build a better AI helper, start by modeling the irrational behavior of humans(00:10:19) New AI method captures uncertainty in medical images

  • Google AI Unveils TransformerFAM, Google Cloud Launches Vertex AI Agent Builder, Tango 2 Enhances Text-to-Audio Synthesis, Blackford and Lucida Medical Partner on Prostate Cancer Imaging

    Google AI Unveils TransformerFAM, Google Cloud Launches Vertex AI Agent Builder, Tango 2 Enhances Text-to-Audio Synthesis, Blackford and Lucida Medical Partner on Prostate Cancer Imaging

    · Simply AI

    Google AI introduces TransformerFAM, a novel Transformer architecture that leverages a feedback loop. Google Cloud announces Vertex AI Agent Builder, empowering developers to quickly build and launch AI tools. Tango 2 revolutionizes text-to-audio synthesis with superior performance metrics. Blackford and Lucida Medical partner on prostate cancer imaging, aiming to transform diagnosis and treatment. Join us as we explore these groundbreaking advancements in AI and their potential impact on various industries.Sources:https://www.marktechpost.com/2024/04/17/google-ai-proposes-transformerfam-a-novel-transformer-architecture-that-leverages-a-feedback-loop-to-enable-the-neural-network-to-attend-to-its-latent-representations/https://www.marktechpost.com/2024/04/17/google-cloud-announces-vertex-ai-agent-builder-empowering-developers-to-quickly-build-and-launch-ai-tools/https://www.marktechpost.com/2024/04/17/tango-2-the-new-frontier-in-text-to-audio-synthesis-and-its-superior-performance-metrics/https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15668838/blackford-and-lucida-medical-partner-on-prostate-cancer-imagingOutline:(00:00:00) Introduction(00:00:48) Google AI Proposes TransformerFAM: A Novel Transformer Architecture that Leverages a Feedback Loop to Enable the Neural Network to Attend to Its Latent Representations(00:04:01) Google Cloud Announces Vertex AI Agent Builder: Empowering Developers to Quickly Build and Launch AI Tools(00:06:44) Tango 2: The New Frontier in Text-to-Audio Synthesis and Its Superior Performance Metrics(00:09:58) Blackford and Lucida Medical partner on prostate cancer imaging

  • Advancements in Optimization and AI Governance, Reinforcement Learning Beyond Gaming

    Advancements in Optimization and AI Governance, Reinforcement Learning Beyond Gaming

    · Simply AI

    Understanding Nonsmooth Nonconvex Optimization part3 introduces a novel approach for machine learning optimization. The US spearheads the first UN resolution on artificial intelligence. Emerging trends in reinforcement learning showcase applications beyond gaming. A new AI method captures uncertainty in medical images, revolutionizing medical image segmentation.Sources:https://medium.com/@monocosmo77/understanding-nonsmooth-nonconvex-optimization-part3-machine-learning-optimization-2024-f7533491647chttps://apnews.com/article/un-artificial-intelligence-resolution-rules-governance-goals-b442f2701139780526b34ba0527e9425https://www.marktechpost.com/2024/04/16/emerging-trends-in-reinforcement-learning-applications-beyond-gaming/https://news.mit.edu/2024/new-ai-method-captures-uncertainty-medical-images-0411Outline:(00:00:00) Introduction(00:00:45) Understanding Nonsmooth Nonconvex Optimization part3(Machine Learning optimization 2024)(00:02:41) US spearheads first UN resolution on artificial intelligence(00:07:40) Emerging Trends in Reinforcement Learning: Applications Beyond Gaming(00:11:56) New AI method captures uncertainty in medical images

  • AI Breakthroughs in Medical Imaging and LLM Deployment, Europe’s AI Act Approved

    AI Breakthroughs in Medical Imaging and LLM Deployment, Europe’s AI Act Approved

    · Simply AI

    Deep-learning model determines breast tumor staging. New AI method captures uncertainty in medical images. Researchers at UC Berkeley introduce GOEX, a runtime for LLMs with intuitive undo and damage confinement abstractions. Europe's AI Act receives final approval, setting the stage for groundbreaking regulations.Sources:https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15668616/deeplearning-model-determines-breast-tumor-staginghttps://news.mit.edu/2024/new-ai-method-captures-uncertainty-medical-images-0411https://www.marktechpost.com/2024/04/15/researchers-at-uc-berkeley-introduce-goex-a-runtime-for-llms-with-an-intuitive-undo-and-damage-confinement-abstractions-enabling-the-safer-deployment-of-llm-agents-in-practice/https://apnews.com/article/ai-act-european-union-chatbots-155157e2be2e42d0f1acca33983d8c82Outline:(00:00:00) Introduction(00:00:45) Deep-learning model determines breast tumor staging(00:04:15) New AI method captures uncertainty in medical images(00:07:55) Researchers at UC Berkeley Introduce GOEX: A Runtime for LLMs with an Intuitive Undo and Damage Confinement Abstractions, Enabling the Safer Deployment of LLM Agents in Practice(00:10:58) Europe's AI Act: How does it work and what happens next?

  • Google AI Breakthrough: Scaling Transformer-based Models, AI-Powered Idea Generation, Neuron-State Anomaly Detection, and Open-Vocabulary Embodied Question Answering

    Google AI Breakthrough: Scaling Transformer-based Models, AI-Powered Idea Generation, Neuron-State Anomaly Detection, and Open-Vocabulary Embodied Question Answering

    · Simply AI

    Google AI introduces an efficient machine learning method to scale transformer-based large language models (LLMs) to infinitely long inputs. ResearchAgent transforms the landscape of scientific research through AI-powered idea generation and iterative refinement. An exploration of model-state data in anomaly detection uncovers the untapped potential of neuron-state data. Meta AI releases OpenEQA, the open-vocabulary embodied question answering benchmark, advancing language understanding in AI.Sources:https://www.marktechpost.com/2024/04/14/google-ai-introduces-an-efficient-machine-learning-method-to-scale-transformer-based-large-language-models-llms-to-infinitely-long-inputs/https://www.marktechpost.com/2024/04/14/researchagent-transforming-the-landscape-of-scientific-research-through-ai-powered-idea-generation-and-iterative-refinement/https://towardsdatascience.com/an-exploration-of-model-state-data-in-anomaly-detection-e6860cbca160https://www.marktechpost.com/2024/04/14/meta-ai-releases-openeqa-the-open-vocabulary-embodied-question-answering-benchmark/Outline:(00:00:00) Introduction(00:00:47) Google AI Introduces an Efficient Machine Learning Method to Scale Transformer-based Large Language Models (LLMs) to Infinitely Long Inputs(00:03:34) ResearchAgent: Transforming the Landscape of Scientific Research Through AI-Powered Idea Generation and Iterative Refinement(00:08:47) An Exploration of Model-State Data in Anomaly Detection(00:11:57) Meta AI Releases OpenEQA: The Open-Vocabulary Embodied Question Answering Benchmark

  • Unveiling the Knowledge Storage Capacity of Language Models, US Spearheads UN Resolution on AI

    Unveiling the Knowledge Storage Capacity of Language Models, US Spearheads UN Resolution on AI

    · Simply AI

    Discover the groundbreaking research on language model scaling laws and the relationship between model size and knowledge storage capacity. Plus, learn about the United States' leadership in spearheading the first UN resolution on artificial intelligence. Stay informed about the latest advancements in AI tools for healthcare and the implementation of Europe's AI Act.Sources:https://www.marktechpost.com/2024/04/12/this-ai-paper-from-meta-and-mbzuai-introduces-a-principled-ai-framework-to-examine-highly-accurate-scaling-laws-concerning-model-size-versus-its-knowledge-storage-capacity/https://apnews.com/article/un-artificial-intelligence-resolution-rules-governance-goals-b442f2701139780526b34ba0527e9425https://apnews.com/article/chatgpt-ai-health-doctors-microsoft-f63d7fcc4b361cf8073406bf231e2b92https://apnews.com/article/ai-act-european-union-chatbots-155157e2be2e42d0f1acca33983d8c82Outline:(00:00:00) Introduction(00:00:47) This AI Paper from Meta and MBZUAI Introduces a Principled AI Framework to Examine Highly Accurate Scaling Laws Concerning Model Size Versus Its Knowledge Storage Capacity(00:04:20) US spearheads first UN resolution on artificial intelligence(00:09:27) New AI tools can record your medical appointment or draft a message from your doctor(00:13:14) Europe's AI Act: How does it work and what happens next?

  • Andrew Ng Joins Amazon’s Board, Zephyr 141B-A35B’s AI Leap, Protein Engineering Breakthrough, MA-LMM: Memory-Augmented Multimodal Model

    Andrew Ng Joins Amazon’s Board, Zephyr 141B-A35B’s AI Leap, Protein Engineering Breakthrough, MA-LMM: Memory-Augmented Multimodal Model

    · Simply AI

    AI pioneer Andrew Ng joins Amazon's board of directors. The Zephyr 141B-A35B sets a new benchmark in AI performance. MIT researchers develop a computational technique for protein engineering. Meta AI presents MA-LMM, a memory-augmented multimodal model for long-term video understanding.Sources:https://www.thehindu.com/sci-tech/technology/ai-pioneer-andrew-ng-joins-amazons-board-of-directors/article68057195.ecehttps://www.marktechpost.com/2024/04/11/the-dawn-of-efficient-ai-zephyr-141b-a35bs-innovative-leap/https://news.mit.edu/2024/new-computational-technique-could-help-engineer-useful-proteins-0403https://www.marktechpost.com/2024/04/11/meta-ai-presents-ma-lmm-memory-augmented-large-multimodal-model-for-long-term-video-understanding/Outline:(00:00:00) Introduction(00:00:42) AI pioneer Andrew Ng joins Amazon’s board of directors(00:02:54) The Dawn of Efficient AI: Zephyr 141B-A35B’s Innovative Leap(00:06:10) A new computational technique could make it easier to engineer useful proteins(00:08:49) Meta AI Presents MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

  • Mini Soccer Robot’s Remarkable Agility, New AI Method for Mathematical Reasoning, and Breakthrough in Unbalanced Classification Tasks

    Mini Soccer Robot’s Remarkable Agility, New AI Method for Mathematical Reasoning, and Breakthrough in Unbalanced Classification Tasks

    · Simply AI

    AI-powered mini soccer robot demonstrates remarkable agility and skill in 1-on-1 matches. Researchers introduce a new machine learning method to evaluate mathematical reasoning beyond accuracy. University of Cambridge proposes a unique machine learning method for active learning in unbalanced classification tasks. Plus, a study reveals how data scarcity limits multimodal AI's 'zero-shot' capabilities.Sources:https://www.techtimes.com/articles/303469/20240411/ai-powered-mini-soccer-robot-demonstrates-remarkable-agility-skill-1.htmhttps://www.marktechpost.com/2024/04/10/this-ai-paper-introduces-reasoneval-a-new-machine-learning-method-to-evaluate-mathematical-reasoning-beyond-accuracy/https://www.marktechpost.com/2024/04/10/researchers-at-the-university-of-cambridge-propose-anchoral-a-unique-machine-learning-method-for-active-learning-in-unbalanced-classification-tasks/https://www.marktechpost.com/2024/04/10/the-zero-shot-mirage-how-data-scarcity-limits-multimodal-ai/Outline:(00:00:00) Introduction(00:00:50) AI-Powered Mini Soccer Robot Demonstrates Remarkable Agility, Skill in 1-on-1 Matches(00:03:42) This AI Paper Introduces ReasonEval: A New Machine Learning Method to Evaluate Mathematical Reasoning Beyond Accuracy(00:06:22) Researchers at the University of Cambridge Propose AnchorAL: A Unique Machine Learning Method for Active Learning in Unbalanced Classification Tasks(00:09:27) The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI

  • AI Giants Release New Models, Meta’s Nick Clegg on AI in Democracy

    AI Giants Release New Models, Meta’s Nick Clegg on AI in Democracy

    · Simply AI

    OpenAI, Google, and Mistral release new AI models, sparking excitement in the industry. Meta's Nick Clegg downplays AI's threat to global democracy. Plus, Huawei's study on machine translation quality estimation with large language models. Also, Microsoft introduces Direct Nash Optimization for aligning AI models with human values.Sources:https://www.theguardian.com/technology/2024/apr/10/ai-race-heats-up-as-openai-google-and-mistral-release-new-modelshttps://www.theguardian.com/technology/2024/apr/09/metas-nick-clegg-plays-down-ais-threat-to-global-democracyhttps://slator.com/huawei-on-machine-translation-quality-estimation-with-large-language-models/https://www.marktechpost.com/2024/04/09/microsoft-ai-introduces-direct-nash-optimization-dno-a-scalable-machine-learning-algorithm-that-combines-the-simplicity-and-stability-of-contrastive-learning-with-the-theoretical-generality-of-opti/Outline:(00:00:00) Introduction(00:00:40) AI race heats up as OpenAI, Google and Mistral release new models(00:03:02) Meta’s Nick Clegg plays down AI’s threat to global democracy(00:05:56) Huawei on Machine Translation Quality Estimation With Large Language Models(00:08:37) Microsoft AI Introduces Direct Nash Optimization (DNO): A Scalable Machine Learning Algorithm that Combines the Simplicity and Stability of Contrastive Learning with the Theoretical Generality of Optimizing General Preferences

  • Google’s Gemini 1.5 Pro Revolutionizes AI, Meta’s Nick Clegg on AI in Democracy

    Google’s Gemini 1.5 Pro Revolutionizes AI, Meta’s Nick Clegg on AI in Democracy

    · Simply AI

    Google's next-generation AI model Gemini 1.5 Pro is now available in public preview on Google Cloud's Vertex AI Platform, offering developers unprecedented capabilities. Meta's Nick Clegg plays down AI's threat to global democracy and emphasizes its role in defending democracy. Symbolica raises $31 million to develop AI systems to compete with OpenAI, challenging the dominance of transformer architectures. Meta discusses buying publisher Simon & Schuster to train AI, raising ethical questions. Stay informed about the latest advancements and debates in AI technology with 'Simply A.I.'Sources:https://www.marktechpost.com/2024/04/09/googles-next-generation-ai-model-gemini-1-5-pro-is-now-available-in-public-preview-on-google-clouds-vertex-ai-platform/https://www.theguardian.com/technology/2024/apr/09/metas-nick-clegg-plays-down-ais-threat-to-global-democracyhttps://telecom.economictimes.indiatimes.com/news/internet/symbolica-raises-31-million-to-develop-ai-systems-to-compete-with-openai/109169376https://www.theguardian.com/books/2024/apr/09/meta-discussed-buying-publisher-simon-schuster-to-train-aiOutline:(00:00:00) Introduction(00:00:44) Google’s Next-Generation AI Model Gemini 1.5 Pro is Now Available in Public Preview on Google Cloud’s Vertex AI Platform(00:03:22) Meta’s Nick Clegg plays down AI’s threat to global democracy(00:06:36) Symbolica raises $31 million to develop AI systems to compete with OpenAI(00:09:16) Meta ‘discussed buying publisher Simon & Schuster to train AI’

  • MiniGPT4-Video Revolutionizes Video Understanding, JailbreakBench Exposes Language Model Vulnerabilities

    MiniGPT4-Video Revolutionizes Video Understanding, JailbreakBench Exposes Language Model Vulnerabilities

    · Simply AI

    Researchers introduce MiniGPT4-Video, a multimodal language model designed for video understanding. JailbreakBench reveals vulnerabilities of language models to jailbreaking attacks. Plus, MeetKai releases Functionary-V2.4, an alternative to OpenAI function calling models. Also, Google DeepMind and Anthropic introduce Equal-Info Windows for efficient LLM training on compressed text.Sources:https://www.marktechpost.com/2024/04/08/researchers-from-kaust-and-harvard-introduce-minigpt4-video-a-multimodal-large-language-model-llm-designed-specifically-for-video-understanding/https://www.marktechpost.com/2024/04/08/this-machine-learning-paper-introduces-jailbreakbench-an-open-robustness-benchmark-for-jailbreaking-large-language-models/https://www.marktechpost.com/2024/04/08/meetkai-releases-functionary-v2-4-an-alternative-to-openai-function-calling-models/https://www.marktechpost.com/2024/04/08/google-deepmind-and-anthropic-researchers-introduce-equal-info-windows-a-groundbreaking-ai-method-for-efficient-llm-training-on-compressed-text/Outline:(00:00:00) Introduction(00:00:49) Researchers from KAUST and Harvard Introduce MiniGPT4-Video: A Multimodal Large Language Model (LLM) Designed Specifically for Video Understanding(00:04:52) This Machine Learning Paper Introduces JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models(00:08:05) MeetKai Releases Functionary-V2.4: An Alternative to OpenAI Function Calling Models(00:10:39) Google DeepMind and Anthropic Researchers Introduce Equal-Info Windows: A Groundbreaking AI Method for Efficient LLM Training on Compressed Text

  • Microsoft AI Researchers Design Adaptive Bitrate Algorithms, Alibaba Releases Multilingual LLM

    Microsoft AI Researchers Design Adaptive Bitrate Algorithms, Alibaba Releases Multilingual LLM

    · Simply AI

    Researchers at Microsoft AI propose LLM-ABR, a machine learning system that utilizes LLMs to design adaptive bitrate algorithms. Alibaba-Qwen releases Qwen1.5 32B, a new multilingual dense LLM. Plus, OpenAI introduces improvements to the fine-tuning API and expands its custom models program. Also, navigating the challenges and opportunities of synthetic voices with OpenAI's Voice Engine.Sources:https://www.marktechpost.com/2024/04/06/researchers-at-microsoft-ai-propose-llm-abr-a-machine-learning-system-that-utilizes-llms-to-design-adaptive-bitrate-abr-algorithms/https://www.marktechpost.com/2024/04/06/alibaba-qwen-releases-qwen1-5-32b-a-new-multilingual-dense-llm-with-a-context-of-32k-and-outperforming-mixtral-on-the-open-llm-leaderboard/https://openai.com/blog/introducing-improvements-to-the-fine-tuning-api-and-expanding-our-custom-models-programhttps://openai.com/blog/navigating-the-challenges-and-opportunities-of-synthetic-voicesOutline:(00:00:00) Introduction(00:00:49) Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms(00:04:42) Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard(00:07:45) Introducing improvements to the fine-tuning API and expanding our custom models program(00:12:27) Navigating the Challenges and Opportunities of Synthetic Voices

  • Revolutionizing Mathematical Problem Solving, AI Agent Solves Data Science Tasks at Human Level

    Revolutionizing Mathematical Problem Solving, AI Agent Solves Data Science Tasks at Human Level

    · Simply AI

    Researchers introduce the 'Self-Critique' pipeline, enhancing mathematical problem solving in large language models. Weco AI unveils 'AIDE', an AI agent that can automatically solve data science tasks at a human level. Facebook and Instagram label digitally altered content 'made with AI'. King's College London introduces a theoretical analysis of neural network architectures through topos theory.Sources:https://www.marktechpost.com/2024/04/05/researchers-from-zhipu-ai-and-tsinghua-university-introduced-the-self-critique-pipeline-revolutionizing-mathematical-problem-solving-in-large-language-models/https://www.marktechpost.com/2024/04/05/weco-ai-unveils-aide-an-ai-agent-that-can-automatically-solve-data-science-tasks-at-a-human-level/https://www.theguardian.com/technology/2024/apr/05/facebook-instagram-ai-label-digitally-altered-mediahttps://www.marktechpost.com/2024/04/05/this-ai-paper-from-kings-college-london-introduces-a-theoretical-analysis-of-neural-network-architectures-through-topos-theory/Outline:(00:00:00) Introduction(00:00:55) Researchers from Zhipu AI and Tsinghua University Introduced the ‘Self-Critique’ pipeline: Revolutionizing Mathematical Problem Solving in Large Language Models(00:03:55) Weco AI Unveils ‘AIDE’: An AI Agent that can Automatically Solve Data Science Tasks at a Human Level(00:06:50) Facebook and Instagram to label digitally altered content ‘made with AI’(00:09:20) This AI Paper from King’s College London Introduces a Theoretical Analysis of Neural Network Architectures Through Topos Theory

  • China’s AI Election Interference, Deep Learning at Scale, Gretel AI’s Text-to-SQL Dataset, and CAN for Image Generative Models

    China’s AI Election Interference, Deep Learning at Scale, Gretel AI’s Text-to-SQL Dataset, and CAN for Image Generative Models

    · Simply AI

    China's use of AI to disrupt elections in the US, South Korea, and India. Deep learning at scale with parallel model training. Gretel AI releases the largest open-source Text-to-SQL dataset. CAN introduces a new AI method for adding control to image generative models. Join us as we explore the implications of these advancements in artificial intelligence.Sources:https://www.theguardian.com/technology/2024/apr/05/china-using-ai-disrupt-electionshttps://towardsdatascience.com/deep-learning-at-scale-parallel-model-training-d7c22904b5a4https://www.marktechpost.com/2024/04/04/gretel-ai-releases-largest-open-source-text-to-sql-dataset-to-accelerate-artificial-intelligence-ai-model-training/https://www.marktechpost.com/2024/04/04/condition-aware-neural-network-can-a-new-ai-method-for-adding-control-to-image-generative-models/Outline:(00:00:00) Introduction(00:00:47) China will use AI to disrupt elections in the US, South Korea and India, Microsoft warns(00:03:26) Deep Learning At Scale: Parallel Model Training(00:05:39) Gretel AI Releases Largest Open Source Text-to-SQL Dataset to Accelerate Artificial Intelligence AI Model Training(00:08:31) Condition-Aware Neural Network (CAN): A New AI Method for Adding Control to Image Generative Models

  • The Paradox of Fine-Tuning AI, Navigating Large Language Models, Chinese Mourners Turn to AI, and Shallow Cross-Encoders for Low-Latency Retrieval

    The Paradox of Fine-Tuning AI, Navigating Large Language Models, Chinese Mourners Turn to AI, and Shallow Cross-Encoders for Low-Latency Retrieval

    · Simply AI

    Can benign data undermine AI safety? This paper from Princeton University explores the paradox of machine learning fine-tuning. Plus, a study navigates large language model pre-training with downstreaming capability analysis. Chinese mourners turn to AI to remember and 'revive' loved ones. And researchers at the University of Glasgow propose shallow cross-encoders as an AI-based solution for low-latency information retrieval. Join us as we delve into these fascinating topics at Simply A.I.Sources:https://www.marktechpost.com/2024/04/03/can-benign-data-undermine-ai-safety-this-paper-from-princeton-university-explores-the-paradox-of-machine-learning-fine-tuning/https://www.marktechpost.com/2024/04/03/this-ai-study-navigates-large-language-model-llm-pre-training-with-down-streaming-capability-analysis/https://www.theguardian.com/technology/2024/apr/04/chinese-mourners-turn-to-ai-to-remember-and-revive-loved-oneshttps://www.marktechpost.com/2024/04/03/researchers-at-the-university-of-glasgow-propose-shallow-cross-encoders-as-an-ai-based-solution-for-low-latency-information-retrieval/Outline:(00:00:00) Introduction(00:00:45) Can Benign Data Undermine AI Safety? This Paper from Princeton University Explores the Paradox of Machine Learning Fine-Tuning(00:03:42) This AI Study Navigates Large Language Model (LLM) Pre-training With Down-streaming Capability Analysis(00:06:37) Chinese mourners turn to AI to remember and ‘revive’ loved ones(00:09:09) Researchers at the University of Glasgow Propose Shallow Cross-Encoders as an AI-based Solution for Low-Latency Information Retrieval

  • AI Safety Vulnerabilities, IDF’s Response to AI Claims, Healthcare AI Terminology, and Taylor AI’s Text Classification API

    AI Safety Vulnerabilities, IDF’s Response to AI Claims, Healthcare AI Terminology, and Taylor AI’s Text Classification API

    · Simply AI

    Discover the vulnerabilities in AI safety features and the urgent need for improved measures. Get insights into the IDF's response to claims about the use of an AI database in Gaza. Learn the common terms and concepts in healthcare AI. Explore Taylor AI's API for large-scale text classification and its advantages over LLMs. Stay informed about the latest developments in AI technology with Simply A.I.Sources:https://www.theguardian.com/technology/2024/apr/03/many-shot-jailbreaking-ai-artificial-intelligence-safety-features-bypasshttps://www.theguardian.com/world/2024/apr/03/israel-defence-forces-response-to-claims-about-use-of-lavender-ai-database-in-gazahttps://healthitanalytics.com/features/artificial-intelligence-in-healthcare-defining-the-most-common-termshttps://www.marktechpost.com/2024/04/03/meet-taylor-ai-a-yc-funded-startup-that-uses-its-api-for-large-scale-text-classification-and-is-cheaper-than-an-llm/Outline:(00:00:00) Introduction(00:00:43) Meet Taylor AI: A YC-Funded Startup that Uses its API for Large-Scale Text Classification and is Cheaper than an LLM

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