Linear Algebra and Optimization for Machine Learning [516-page textbook]: https://
amzn.to/39aWf8N
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#DataScience #DataScientist #ML #Mathematics #ORMS
RESEARCH
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Linear Algebra and Optimization for Machine Learning Textbook
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Three-step process for agent memory
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Many agent memories follow a simple three-step process:
– execute the agent
– execute a process to examine those traces and analyze them
– update memory accordingly We show how to do this! -
Transfer Learning book 390 pages Amazon summary
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TRANSFER LEARNING book [390 pages]: https://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Reinforcement Learning foundational book 2nd edition announcement
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): https://
amzn.to/3UtbeAa
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#AI #MachineLearning #ML #Mathematics #Gamification -
New release: A Practical Guide to RLHF from Packt
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New release from @PacktDataML at https://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Agent memory becomes data management system for LLMs
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// Agent memory is a data system now // Great paper on long-term memory for LLM agents. (bookmark it) Agent memory has grown from simple retrieval into a full data-management layer with storage, retrieval, update, consolidation, and lifecycle governance. Yet most evaluations
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Early benchmark results show closed source AI models leading
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This is a sad day for the AI community… I'm working on a benchmark we will soon release… and these are early results gathering pretty much all models out there, closed and opened. Red = closed source models
y axis = Elo score
x axis = release date
size = task cost … and -
Kog publishes an ultra-fast 2B model on Hugging Face
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Kog has open-sourced on @huggingface the 2B model they used to demonstrate a model running at over 3,000 tokens per second. Very cool work! https://huggingface.co/blog/kogai/kog-laneformer-2b-the-latency-first-model …
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VisualClaw: Real-time personalized agent using only key video moments.
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"VisualClaw: A Real-Time, Personalized Agent for the Physical World" AI agents for video are too expensive because they usually send too many frames to the model, and they do not learn from past mistakes. This paper proposes a way to keep only the important video moments,
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Multimodal AI connects 3D atomistic models with language
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"Atomistic Language Models Understand and Generate Materials" Most materials AI still treats crystals and language separately, either turning atoms into lossy text formats or making LLMs call atomistic tools. This paper makes materials natively multimodal by connecting a 3D