DeepMind’s AI-First Science Quest Continues with AlphaFold 3
Was this email forwarded to you? Sign up here DeepMind’s AI-First Science Quest Continues with AlphaFold 3The new model can predict the structure of many life's molecules such as proteins, DNA, RNA and several others.Next Week in The Sequence:
You can subscribed to The Sequence below:📝 Editorial: DeepMind’s AI-First Science Quest Continues with AlphaFold 3AI for science is one of my favorite forms of AI 😊. You can argue that the real test for AGI is when it's able to create new science. No company in the world has been pushing the boundaries of AI for science like Google DeepMind. Among the scientific achievements of DeepMind models, none has achieved more notoriety than AlphaFold, the model that was able to predict protein structures from a sequence of amino acids. A few days ago, DeepMind published details about AlphaFold 3, which expands its prediction capabilities beyond just proteins to a broad spectrum of biomolecules. Our understanding of life’s molecules is a core foundation of our understanding of biological life and certainly the cornerstone of drug discovery. AlphaFold 3 is able to predict the structure of large molecular structures such as proteins, RNA, DNA, or even small molecules such as ligands. Even more impressive is the fact that AlphaFold 3 can model the chemical interactions in those molecules which effectively control cell functioning. Starting with a list of molecules, AlphaFold 3 is able to generate a 3D structure that clearly visualizes its joint 3D structure, revealing its intricacies and interactions. Science is nothing if not in the hands of scientists. One of the coolest things about AlphaFold 3 was the release of the AlphaFold Server, a free search tool that scientists can use to test new hypotheses and model biomolecular structures. AlphaFold 3 continues Google DeepMind’s incredible scientific achievements in areas such as mathematics, physics, biology, and several others. The AlphaFold 3 paper is absolutely fascinating and a recommended read. 🔥 How to Stop HallucinationsIntroducing Galileo Protect – a revolutionary GenAI firewall that intercepts hallucinations, prompt attacks, security threats, and more! 🔎 ML ResearchAlphaFold 3Google DeepMind published a paper detailing AlphaFold 3, the new version of its groundbreaking bioscience model that was able to predict protein structures. The new version builds on its predecessor to predict the structure of other molecules such as DNA, RNA, ligands and more —> Read more. Prometheus 2Researchers from several labs such as Carnegie Mellon University and Allen AI published a paper proposing Prometheus 2, an LLM specialized in evaluating other LLMs. Prometheus builds on its predecessor and achieve results that closely mirror GPT-4 and human judgements —> Read more. LoftQMicrosoft Research published a paper proposing LoftQ, a technique that streamlines the fine-tuning process in LLMs. LoftQ combines ideas from methods such as LoRA or QLora with techniques like quantization and adaptive initialization to build a highly optimal fine-tuning process —> Read more. LoRA LAndAI researchers from Predibase published a paper outlining LoRA Land, a group of 310 fine-tuned LLMs that rival GPT-4 across different domains. LoRA Land provides adapters a combination of 10 based models fine-tuned for 31 different tasks —> Read more. NeMo AlignerNVIDIA Research published a paper introducing NeMo-Aligner, a toolkit for model alignment that scales to hundreds of GPUs for training. NeMo-Aligner combines techniques such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), SteerLM, and Self-Play Fine-Tuning (SPIN) in a single toolkit —> Read more. Google and DeepMind at ICLRGoogle DeepMind researchers published a comprehensive summary of some of the papers submitted to the ICLR 2024 conference. The papers cover categories such as agents, frontier computer vision and foundational learning —> Read more. 🤖 Cool AI Tech ReleasesBedrock StudioAmazon released Bedrock Studio, a web interface for developers to collaborate in the implementation of generative AI applications —> Read more. Model SpecOpenAI published Model Spec, a set of guidelines for shaping the desired behavior in foundation models —> Read more. 🛠 Real World AIPayPal Cosmos.AIPaypal shared some details about Cosmos.AI, its internal AI/ML infrastructure platform —> Read more. Inside Einstein for DevelopersSalesforce’s VP of Software Engineering shared some details about the development of the Einstein for Developers platform —> Read more. 📡AI Radar
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Older messages
Not Just Transformers: Jamba is New LLM that Brings the Best of SSMs, Transformers, and MoEs in a Single Architect…
Thursday, May 9, 2024
Jamba addresses some of the limitations of transformers with a novel architecture paradigms. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 393: Understanding Planning Techniques in Autonomous Agents
Tuesday, May 7, 2024
A taxonomy of planning in autonomous agents, the ADaPT planning method and the XLANG framework. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
🔥 Announcing Galileo Protect: Real-Time Hallucination Firewall*
Monday, May 6, 2024
Unveiling Galileo Protect – the first GenAI firewall built for the enterprise! ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Maybe Two Big Research Breakthroughs or Maybe Nothing
Sunday, May 5, 2024
Multi-token prediction and a multi-layer perceptron alternative. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 392: Meet RAFT: UC Berkeley's New Method to Improve RAG Patterns in LLMs
Thursday, May 2, 2024
The method brings the best of RAG and supervised fine tuning. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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