Tag: hallucination
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Hacker News: Show HN: Prompt Engine – Auto pick LLMs based on your prompts
Source URL: https://jigsawstack.com/blog/jigsawstack-mixture-of-agents-moa-outperform-any-single-llm-and-reduce-cost-with-prompt-engine Source: Hacker News Title: Show HN: Prompt Engine – Auto pick LLMs based on your prompts Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The JigsawStack Mixture-Of-Agents (MoA) offers a novel framework for leveraging multiple Language Learning Models (LLMs) in applications, effectively addressing challenges in prompt management, cost…
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Hacker News: AI hallucinations: Why LLMs make things up (and how to fix it)
Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…
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Simon Willison’s Weblog: Certain names make ChatGPT grind to a halt, and we know why
Source URL: https://simonwillison.net/2024/Dec/3/names-make-chatgpt-grind-to-a-halt/#atom-everything Source: Simon Willison’s Weblog Title: Certain names make ChatGPT grind to a halt, and we know why Feedly Summary: Certain names make ChatGPT grind to a halt, and we know why Benj Edwards on the really weird behavior where ChatGPT stops output with an error rather than producing the names David Mayer,…
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Hacker News: School did nothing wrong when it punished student for using AI, court rules
Source URL: https://arstechnica.com/tech-policy/2024/11/school-did-nothing-wrong-when-it-punished-student-for-using-ai-court-rules/ Source: Hacker News Title: School did nothing wrong when it punished student for using AI, court rules Feedly Summary: Comments AI Summary and Description: Yes Summary: A recent ruling from a federal court highlighted the complexities surrounding the use of artificial intelligence (AI) in educational settings, particularly regarding policies and regulations governing…
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Cloud Blog: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide Feedly Summary: Gemini 1.5 Pro is creating new possibilities for developers to build AI agents that streamline the customer experience. In this post, we’ll focus on a practical application that has emerged in the…
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Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…
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Hacker News: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding
Source URL: https://www.qodo.ai/blog/comparison-of-claude-sonnet-3-5-gpt-4o-o1-and-gemini-1-5-pro-for-coding/ Source: Hacker News Title: Comparison of Claude Sonnet 3.5, GPT-4o, o1, and Gemini 1.5 Pro for coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text provides a comprehensive analysis of various AI models, particularly focusing on recent advancements in LLMs (Large Language Models) for coding tasks. It assesses the…