CMU LLM Inference (10): Incorporating Tools
This lecture (by Graham Neubig) for CMU CS 11-763, Advanced NLP (Fall 2025) covers: What are tools? Definition and taxonomy Basic tool use paradigm Key approaches: PAL, Toolformer, Gorilla, WebGPT Tool creation: TroVE and Large Language Models as Tool Makers Tool robustness: Benchmarking failures in tool-augmented language models Standardized function calling (JSON Schema) Parallel function calling Model Context Protocol (MCP) and MCP registries FastMCP framework for rapid MCP development Sandboxed code execution for secure tool use Tool use scenarios and trade-offs Evaluation challenges and best practices Class Site: https://phontron.com/class/lminferenc...

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CMU LLM Inference (11): Agents and Multi-Agent Communication

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Lecture 58: Disaggregated LLM Inference
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[CVPR 2026] 1st Workshop on Generative 3D Reconstruction - Christian Rupprecht

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CMU LLM Inference (1): Introduction to Language Models and Inference

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CMU Advanced NLP Fall 2024 (7): Prompting and Complex Reasoning

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Generative AI and the Online Information Ecosystem: Early Evidence and Implications (Ananya Sen)
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Yann LeCun's $1B Bet Against LLMs [Part 1]

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CMU LLM Inference (7): Chain of Thought and Intermediate Steps

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CMU LLM Inference (9): Reasoning Models

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CMU Advanced NLP Fall 2024 (6): Instruction Tuning

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CMU LLM Inference (2): Probability Review and Code Examples

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RI Seminar: Max Simchowitz: Generative Control, Action Chunking, and Moravec’s Paradox

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CMU LLM Inference (4): Beam Search and Variants

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CMU Advanced NLP Fall 2024 (14): Ensembling and Mixture of Experts

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CMU LLM Inference (12): Reward Models and Best-of-N

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CMU LLM Inference (8): Self-Refine and Self-Correction Methods

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

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Don't learn AI Agents without Learning these Fundamentals

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CMU Advanced NLP Fall 2024 (17): Evaluation and Multimodal

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