Super Study Guide: Transformers & Large Language Models: http://
amzn.to/3SW6YYm by @afshinea & @shervinea Beautifully presented, excellent content, timely, thorough, educational. #LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI #ML
LLMS
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Study Guide on Transformers and Large Language Models Recommended
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Code Interpreter: Why Neurosymbolic AI Deserves More Attention
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Code Interpreter is neurosymbolic, as @fchollet made clear a year ago. Why aren’t more people talking about that?
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Re-Ranking Techniques for Improved LLM RAG Systems
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How to Use Re Ranking for Better LLM RAG! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #CloudComputing #DataScientist #Linux #Programming #Coding #Books #100DaysofCode https://
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NaturalThoughts: Reasoning Traces Dataset from DeepSeek-R1
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8. NaturalThoughts This paper introduces NaturalThoughts, a large-scale dataset of reasoning traces distilled from DeepSeek-R1 using questions from the NaturalReasoning corpus.
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Deep Research Agents: Comprehensive Survey of LLM-Powered Systems
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6. Deep Research Agents Provides the most comprehensive survey to date of Deep Research (DR) agents, LLM-powered systems built for autonomous, multi-step informational research.
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Evaluating LLM-Based Agents: Key Metrics and Methods
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7. Survey on Evaluation of LLM-based Agents Overview of how to evaluate LLM-based agents, which differ significantly from traditional LLMs by maintaining memory, planning over multiple steps, using tools, and interacting with dynamic environments.
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Comprehensive Threat Model for LLM-Powered AI Agent Ecosystems
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5. Threats in LLM-Powered AI Agents Workflows This work presents the first comprehensive, end-to-end threat model for LLM-powered agent ecosystems.
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Top AI Papers of the Week: Agents and LLM Research
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Top AI Papers of The Week (June 30 – July 6): – xLSTMAD
– AI4Research
– Deep Research Agents
– SLMs are the Future of Agentic AI
– Chain-of-Thought Is Not Explainability
– Survey on Evaluation of LLM-based Agents Read on for more: -
Small Language Models: Superior Future of Agentic AI
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1. Small Language Models are the Future of Agentic AI This position paper argues that small language models (SLMs), defined as those runnable on consumer-grade hardware, are not only sufficient but superior for many agentic AI applications.