Meet Llama-Nemotron: a new family of open-source reasoning beasts with a twist—you can toggle between chat and deep reasoning on the fly. From 8B to 253B, they match top models like DeepSeek-R1 but run faster & leaner. And yes, it's all open for enterprise use. Tech
LLMS
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Addressing Verbosity and Reliability Feedback for Claude 3.7
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Appreciate the feedback! Cost/verbosity: a few verbosity control workstreams in flight to help manage output length and costs bc I agree 3.7s overeagerness is a little too much at times Reliability: I hear ya on this – reliability issues aren't acceptable. Our team is
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LLM Chain of Thought as Educational Tool for Step-by-Step Problem Solving
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It could be argued that when students see the chain of thought of LLMs they get examples of how to reason step by step to solve problems. So maybe that in itself could be valuable because students would be learning the value of step by step thinking and the different ways in
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AI Decision Circuits: Reliable LLM Systems with 92.5% Accuracy
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AI Decision Circuits Applying electronic circuit design to LLMs creates more reliable AI systems with 92.5% accuracy. Built with LangSmith for real-time tracking and evaluation to validate system outputs. Explore the implementation here https://
towardsdatascience.com/attaining-llm-
certainty-with-ai-decision-circuits/
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Building MCP Servers for Stock Market Data with LangChain
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MCP Server Tutorial Learn to build MCP servers that process stock market data using FastMcp and LangChain. This comprehensive guide demonstrates how to create ReAct agents with LangGraph for standardized data access. Check out the tutorial: https://
youtube.com/watch?v=3K39NJ
bp2IA
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Congressional Digital Twins: LLMs Predict Political Voting Behavior
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What if your congressperson had a digital twin that tweets like them—and predicts how they’ll vote?
Researchers trained LLMs on every congressional tweet ever—and the results are eerily accurate. This could reshape how we model political behavior. Link: -
AI Agent Auto-Selects Best LLM for Each Task
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One more you’ll love!
— Charly Wargnier (@DataChaz) 4 mai 2025
Nate built an AI agent in @n8n_io that auto-selects the best LLM for each task and logs the reasoning behind every choice! 👏👏👏https://t.co/IfaS13R7I2One more you’ll love! Nate built an AI agent in @n8n_io that auto-selects the best LLM for each task and logs the reasoning behind every choice!
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Build a Video Summarizer App with Gemma and Ollama
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Build a Summarizer with Gemma Build a video summarization app using Gemma LLM through Ollama locally. This Streamlit application uses LangChain to process videos and generate concise summaries automatically. Watch the full tutorial here https://
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LLM Explanations and the Question of AI Belief
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And then the LLM in trying to explain this to us says “Oh yeah native foliage duh.” And who knows, it may believe that, to the extent it believes anything.
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CoT Mechanisms: Causal Explanation or Hidden Mathematical Processes
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I wonder how much the CoT actually describes a causal mechanism and how much is essentially LARPing to cover something much weirder happening under the covers. e.g. Is there a vector that is essentially doing some pixel distribution math that no human would think of doing?