Experimental News Clipping Site

Tag: Large Language Models (LLMs)

  • Hacker News: Open Source LLMOps Stack

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    Kurt Seifried
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    Source URL: https://oss-llmops-stack.com Source: Hacker News Title: Open Source LLMOps Stack Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the “Open Source LLMOps Stack,” highlighting the importance of selecting the right technology stack for building LLM-powered applications. It focuses on two primary tools: LiteLLM for managing multiple LLM models and Langfuse…

  • Hacker News: From Records to Agents: The Overlooked Revolution in Enterprise Software

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    Kurt Seifried
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    Source URL: https://sperand.io/posts/the-future-of-enterprise-software/ Source: Hacker News Title: From Records to Agents: The Overlooked Revolution in Enterprise Software Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines a transformative shift in enterprise software, moving from static records to autonomous business objects. This evolution involves the integration of artificial intelligence (AI) and advanced workflows,…

  • Simon Willison’s Weblog: Gemini 2.0 Flash and Flash-Lite

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/25/gemini-20-flash-and-flash-lite/ Source: Simon Willison’s Weblog Title: Gemini 2.0 Flash and Flash-Lite Feedly Summary: Gemini 2.0 Flash and Flash-Lite Gemini 2.0 Flash-Lite is now generally available – previously it was available just as a preview – and has announced pricing. The model is $0.075/million input tokens and $0.030/million output – the same price as…

  • Hacker News: Narrow finetuning can produce broadly misaligned LLM [pdf]

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    Kurt Seifried
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    Source URL: https://martins1612.github.io/emergent_misalignment_betley.pdf Source: Hacker News Title: Narrow finetuning can produce broadly misaligned LLM [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document presents findings on the phenomenon of “emergent misalignment” in large language models (LLMs) like GPT-4o when finetuned on specific narrow tasks, particularly the creation of insecure code. The results…

  • Hacker News: Hard problems that reduce to document ranking

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    Kurt Seifried
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    Source URL: https://noperator.dev/posts/document-ranking-for-complex-problems/ Source: Hacker News Title: Hard problems that reduce to document ranking Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative application of large language models (LLMs) in document ranking, particularly for locating vulnerabilities in code patches. It presents a novel approach to addressing complex security problems by…

  • Simon Willison’s Weblog: Aider Polyglot leaderboard results for Claude 3.7 Sonnet

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/25/aider-polyglot-leaderboard/ Source: Simon Willison’s Weblog Title: Aider Polyglot leaderboard results for Claude 3.7 Sonnet Feedly Summary: Aider Polyglot leaderboard results for Claude 3.7 Sonnet Paul Gauthier’s Aider Polyglot benchmark is one of my favourite independent benchmarks for LLMs, partly because it focuses on code and partly because Paul is very responsive at evaluating…

  • Hacker News: The Best Way to Use Text Embeddings Portably Is with Parquet and Polars

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    Kurt Seifried
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    Source URL: https://minimaxir.com/2025/02/embeddings-parquet/ Source: Hacker News Title: The Best Way to Use Text Embeddings Portably Is with Parquet and Polars Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed overview of generating and utilizing text embeddings from large language models, specifically applied to Magic: The Gathering cards. It emphasizes the…

  • Schneier on Security: More Research Showing AI Breaking the Rules

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/more-research-showing-ai-breaking-the-rules.html Source: Schneier on Security Title: More Research Showing AI Breaking the Rules Feedly Summary: These researchers had LLMs play chess against better opponents. When they couldn’t win, they sometimes resorted to cheating. Researchers gave the models a seemingly impossible task: to win against Stockfish, which is one of the strongest chess engines…

  • Hacker News: OpenAI Researchers Find That AI Is Unable to Solve Most Coding Problems

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    Kurt Seifried
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    Source URL: https://futurism.com/openai-researchers-coding-fail Source: Hacker News Title: OpenAI Researchers Find That AI Is Unable to Solve Most Coding Problems Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenAI’s recent research indicates that even advanced AI models, including their flagship LLMs, struggle considerably with software coding tasks compared to human engineers. Despite capabilities to operate…