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OpenPipe: RL for multi turn agents
aka train your own agents!
Jun 8
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Ludovico Bessi
2
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OpenPipe: RL for multi turn agents
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63. How multimodal LLMs (MLLM) work under the hood?
Nov 17, 2024
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Ludovico Bessi
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63. How multimodal LLMs (MLLM) work under the hood?
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58. My personal blueprint to get up and running fast when joining a new company / new team.
Oct 13, 2024
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Ludovico Bessi
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58. My personal blueprint to get up and running fast when joining a new company / new team.
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67. Improving RAG components.
Dec 15, 2024
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Ludovico Bessi
14
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67. Improving RAG components.
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Text-to-SQL just got a lot better with RL
aka multi turn is all you need?
Jun 1
•
Ludovico Bessi
7
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Text-to-SQL just got a lot better with RL
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AI Site reliability engineer?
aka deep dive on AI startup that wants to automate SREs :)
May 25
•
Ludovico Bessi
2
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AI Site reliability engineer?
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KV-Runahead: Scalable causal LLM inference with parallel KV cache generation
aka cache everything!
May 18
•
Ludovico Bessi
4
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KV-Runahead: Scalable causal LLM inference with parallel KV cache generation
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Beyond Basic RAG towards Agentic RAG
Scaling basic RAG to a robust, production-grade system is quite hard: making it multimodal, latency problems, query rewriting, edge cases, etc.
May 11
•
Ludovico Bessi
10
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Beyond Basic RAG towards Agentic RAG
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LLM Serving (Bonus!): takeaways from industry
Introduction
May 4
•
Ludovico Bessi
5
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LLM Serving (Bonus!): takeaways from industry
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LLM Serving (4): Disaggregated serving
Introduction
Apr 27
•
Ludovico Bessi
8
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LLM Serving (4): Disaggregated serving
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LLM serving (3): Speculative decoding
Introduction
Apr 20
•
Ludovico Bessi
5
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LLM serving (3): Speculative decoding
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