Machine Learning FLX offers a range of courses on topics like Scikit-Learn, IBM Introduction to Machine Learning, How Google Does Machine Learning, Understanding Machine Learning, and Art and Science of Machine Learning. Enhance your skills in #machinelearning, #deeplearning, #datascience with these comprehensive courses. #AI #learning
- Machine Learning FLX offers courses on Scikit-Learn, IBM Introduction to Machine Learning, How Google Does Machine Learning, Understanding Machine Learning, and Art and Science of Machine Learning.
- Enhance skills in #machinelearning, #deeplearning, #datascience with these courses.
- Courses cover various aspects of machine learning and data analysis to upskill #datascientist, #DataAnalytics professionals.
- Find courses at URLs provided in the tweets to kickstart your learning journey.
AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, is a state-of-the-art AI model that accurately predicts the structures and interactions of proteins, DNA, RNA, and other molecules. With 1.8M+ researchers already using AlphaFold for various research purposes, this latest version marks a significant advancement in biology and drug design.
- AlphaFold 3 can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy
- Developed by Google DeepMind and Isomorphic Labs, the AI model has a significant impact on vaccine development, cancer treatment, and more
- The model expands beyond proteins to predict DNA, RNA, and small molecules, fueling advances in biology and drug design
AI4Prompts introduces new prompts for AIArtists created by top voices like Anouk Inspiration and MCLUCAS. Explore prompts for digital art, anime, and more at AI4Prompts. Sell your own prompts on the platform.
- New prompts released for AIArtists by Anouk Inspiration and MCLUCAS
- Prompts include themes like Film Noir Claymations and T-shirt Hearts Everywhere
- Visit AI4Prompts to discover and sell AI-generated prompts
Top voices like Jon Barron, Rohan Paul, and Towards Data Science discuss the potential of Kolmogorov-Arnold Networks (KAN) as a game-changing alternative to Multi-Layer Perceptrons (MLPs) in machine learning.
- KANs offer interpretable architectures and automatic pruning advantages over deep learning techniques.
- KANs can approximate nonlinear functions effectively and utilize grid intervals for activation functions.
- Spline-ifying expensive operators in KANs can be a powerful tool for efficient computation and function representation.
TechCrunch discusses the experimental AI tech of the rabbit r1, while François Fleuret explores AI and reasoning with Samy Bengio. Ronald van Loon delves into the future of Artificial General Intelligence (AGI), and AI Papers presents Pragmatist Intelligence for ANNs.
- TechCrunch delves into the rabbit r1 and experimental AI tech
- François Fleuret explores AI and reasoning with Samy Bengio at EPFL
- Ronald van Loon discusses the future of Artificial General Intelligence (AGI)
- AI Papers presents Pragmatist Intelligence for Artificial Neural Networks
Catch a glimpse of cutting-edge research at #ICLR2024 with top voices like Michael Bronstein, Hila Chefer, and Sayak Paul presenting innovative work on latent topology inference, diffusion models, and more. Explore topics ranging from interpretability pitfalls to robust learning in vision transformers.
- Top voices like Michael Bronstein, Hila Chefer, and Sayak Paul share groundbreaking research at ICLR 2024
- Topics include latent topology inference, diffusion models, and robust learning in vision transformers
- Exciting presentations on interpretable tokens, pitfalls of subspace activation patching, and more
- Don’t miss out on learning about innovative methods and frameworks in machine learning
- Follow #ICLR2024 for live updates from the conference
AI4Prompts showcases new prompts for quirky stick figure characters, colorful illustrations, 3D typography stickers, and card illustrations for Mother’s Day from AIArtists Shandra and Hantroid Digital Art. Sell your prompts at AI4Prompts. #aiart #midjourney #v6 #digitalart #aiimages
- AI4Prompts introduces new midjourney prompts from AIArtists Shandra and Hantroid Digital Art
- Prompts include quirky stick figure characters, colorful illustrations, 3D typography stickers, and card illustrations for Mother’s Day
- AIArtists can sell their prompts at AI4Prompts website
- Hashtags: #aiart #midjourney #v6 #digitalart #aiimages
Top voices like Sasha Rush, Parth Sarthi, and Jerry Wei are sharing their latest research at ICLR 2024 in Vienna. Presentations and poster sessions are happening, covering topics like RAPTOR, diffusion, alignment/safety, and more. Don’t miss out on the opportunity to engage with leading experts in the field!
- Top voices like Sasha Rush, Parth Sarthi, and Jerry Wei are presenting at ICLR 2024 in Vienna
- Topics include RAPTOR, diffusion, alignment/safety, and more
- Engage with experts and learn about the latest research in AI
TechCrunch reports on Altera’s AI agents backed by Eric Schmidt, Bindu Reddy showcases English as a programming language for AI agents, Xuhui Zhou explores social AI agents, and LangChain’s blog on AI agents accessing the internet.
- Altera’s game-playing AI agents backed by Eric Schmidt gaining attention in tech industry
- Bindu Reddy demonstrates English as a programming language for AI agents on the Abacus AI platform
- Xuhui Zhou discusses the increasing social interaction of AI agents in our daily lives
- LangChain and Tavily’s API enable AI agents to access internet data and interact meaningfully
Archer, the smart AI Tutor, helps students conquer algebraic equations with ease and humor. From solving linear equations to factoring, Archer guides students through various math challenges. Join the AI revolution in education with Archer! #EdTech #MathMadeEasy
- Archer AI Tutor aids students in mastering algebraic equations
- From linear equations to factoring, Archer guides students through various math challenges
- Join the AI revolution in education with Archer
Recent discussions by top voices in AI like Ian Goodfellow and Thomas Wolf shed light on the ease of creating adversarial examples in LLMs. Maximilian Beck highlights the challenges in naming conventions for linear RNN papers. Tian Jin shares insights on the effects of down-scaling LLMs on memory recall and in-context learning. Akshay discusses the importance of RoPE in developing long-context LLMs.
- Top voices in AI discuss advancements in Language Models (LLMs)
- Challenges in naming conventions for linear RNN papers highlighted by Maximilian Beck
- Effects of down-scaling LLMs on memory recall and in-context learning explored by Tian Jin
- Importance of RoPE in developing long-context LLMs discussed by Akshay
Discover how to generate synthetic evaluation data with the ragas library, overcome limitations of baseline RAG pipelines, and build advanced local LLM RAG pipelines with two-step retrieval. Follow top voices like Jarek Grygolec, Carl Tanner, and Mervin Praison for expert insights.
- Learn how the ragas library can help generate synthetic evaluation data for RAG systems
- Find strategies to overcome limitations of baseline RAG pipelines and take them to the next level
- Explore building advanced RAG pipelines with two-step retrieval using open-source bi-encoders and cross-encoders
- Follow top voices like Jarek Grygolec, Carl Tanner, and Mervin Praison for expert insights
- Subscribe to Mervin Praison’s YouTube channel for in-depth tutorials on evaluating RAG applications
The enigmatic gpt2-chatbot has reappeared, speculated to be GPT-4.5 by AI enthusiasts like Shubham Saboo. The AI model shows promising performance, sparking comparisons with other advanced LLMs. Follow top voices like Ethan Mollick for updates. #GPT4 #AI #Chatbots
- GPT-2 chatbot resurfaces, speculated to be GPT-4.5 by Shubham Saboo
- Performance of gpt2-chatbot is generating interest in the AI community
- Ethan Mollick and other experts following the developments closely
- Visit lmsys.org to try out the hidden gpt2-chatbot for yourself
Top voices in AI like Carlos E. Perez and Ronald van Loon discuss how reinforcement learning is taking robotics to new heights, with advancements in credit assignment and mean field games.
- Reinforcement learning accelerating innovation in robotics
- Sequence compression facilitating faster credit assignment
- Online agent efficiently learning mean field games
- CTD4 introducing a deep continuous distributional actor-critic agent
- Off-OAB method optimizing policy gradient with action-dependent baseline
The Google AI Team has introduced the TeraHAC algorithm, showcasing remarkable quality and scalability on graphs with up to 8 trillion edges. Learn more about this advancement in artificial intelligence and machine learning on Multiplatform.AI. #AI #Google #GraphMining #MachineLearning
- Google AI Team introduces TeraHAC algorithm for graph mining
- Algorithm shows remarkable quality and scalability on graphs with up to 8 trillion edges
- Visit Multiplatform.AI for more information on this AI technology advancement
Top voices in the AI community are discussing the impact of AI regulation on open-source models and the concentration of power. Concerns are raised about the potential banning of open-source projects and the advantage it could give to incumbents and large players. Learn more about the latest developments in the AI ecosystem. #AI #Regulation #OpenSource #ConcentrationOfPower
- AI experts discuss the potential impact of regulation on open-source AI models
- Concerns raised about the advantage it could give to incumbents and large players
- Discussion on the banning of open-source projects and concentration of power in the industry
New xLSTM model has been released, aiming to scale LSTMs to billions of parameters by introducing exponential gating and enhancing memory capacities. Developed techniques from modern LLMs to overcome limitations of traditional LSTMs.
- xLSTM model launched to enhance LSTM capabilities with exponential gating and advanced memory capacities
- Designed to scale LSTMs to billions of parameters by leveraging techniques from modern LLMs
- Introduces sLSTM and mLSTM memory cells for improved performance and competitiveness in language modeling
- Initiated by top voices in the field such as Aran Komatsuzaki and Andrew Trask
Nvidia continues to lead in AI with their ambitious projects in robotics, engineering, and artificial intelligence, while Ola and Jarvislabs.ai provide affordable AI solutions. Nvidia CEO emphasizes humility and resilience in leadership.
- Nvidia leads in AI with ambitious projects in robotics and engineering
- Ola and Jarvislabs.ai offer affordable AI solutions for developers
- Nvidia CEO promotes humility and resilience in leadership
AIatMeta has introduced a new 1M context window Llama-3 70B model to pair with their Llama-3 8B model on @huggingface. The 70B model achieved a perfect score on NIAH, showcasing impressive results in long context inference. Join the waitlist for access to these cutting-edge models.
- AIatMeta introduces 1M context window Llama-3 70B model
- Achieved perfect score on NIAH
- Pairs with Llama-3 8B model on @huggingface
- Join waitlist for access to models
Top voices in the AI community, including Sam Altman and Delip Rao, share their insights on the control users should have over AI and the potential pitfalls of the post-DL AI world. They emphasize the importance of societal boundaries and the need for transparency in AI development.
- Top AI experts discuss user control over AI within societal boundaries
- Delip Rao criticizes the post-DL AI world for focusing on marketing and expedience over curiosity
- Chomba Bupe raises concerns about the degradation of AI models without human developer experience
- Ethan Mollick highlights the probabilistic nature of AI and the necessity of anthropomorphizing AI for desired results
Multiplatform.AI introduces LLM Safety Leaderboard and Traceable AI’s Early Access Program for Generative AI API Security. DLAP redefines software vulnerability detection with advanced AI framework. Empower secure AI transformation with Microsoft Defender and Purview. Polaris Assist innovates application security with AI-powered features.
- LLM Safety Leaderboard and Early Access Program for Generative AI API Security unveiled by Multiplatform.AI
- DLAP introduces advanced AI framework for software vulnerability detection
- Microsoft Defender and Purview used for secure AI transformation
- Polaris Assist redefines application security with AI-powered innovation
Multiplatform.AI shares groundbreaking AI techniques for enhancing conversational AI systems, large language models, and contextual comprehension. Jacob Andreas explores language model generation via equilibrium search.
- Multiplatform.AI discusses Bayesian Optimization for preference discovery in conversational AI systems
- SPPO technique is introduced for improving large language models through machine learning innovation
- Multi-Token Forecasting AI technique enhances language model advancement
- Jacob Andreas delves into using game theory for improving truthfulness and coherence in LM decoding
- Llama-3-8B-Instruct-80K-QLoRA showcases pioneering advances in AI contextual comprehension
Generative AI is revolutionizing various industries like tech, law, and finance, with advancements in Contract Lifecycle Management and implications on Intellectual Property. Top voices like Ronald van Loon and Nordic AI Institute discuss the significance of this AI innovation.
- Generative AI is advancing Contract Lifecycle Management with state-of-the-art innovation.
- Implications of Generative AI on Intellectual Property are being explored by top voices in the industry.
- TechCrunch and Financial Times discuss the challenges and opportunities of Generative AI.
- Stay updated on the latest trends in AI with top voices like Ronald van Loon and Nordic AI Artificial Intelligence Institute.
A Twitter debate between top AI experts @ylecun, @quocle, and @jeffdean reveals confusion over whether DistBelief had backpropagation from the beginning or not. Jon Barron clarifies the confusion, pointing out that DistBelief later became capable of distributed backpropagation.
- The debate on Twitter revolves around whether DistBelief had backpropagation from the beginning
- @quocle and @jeffdean clarify that DistBelief is a distributed training system used for various projects
AI
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breakthroughs
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language models
neural networks
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AlphaFold 3
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xLSTM
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cybersecurity
GPT-4.5
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