Tag: prompt-engineering
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Hacker News: Visual inference exploration and experimentation playground
Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…
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Simon Willison’s Weblog: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5
Source URL: https://simonwillison.net/2024/Nov/7/project-verdad/#atom-everything Source: Simon Willison’s Weblog Title: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5 Feedly Summary: I’m starting a new interview series called Project. The idea is to interview people who are building interesting data projects and talk about what they’ve built, how they built it, and what they learned…
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Simon Willison’s Weblog: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code
Source URL: https://simonwillison.net/2024/Nov/1/from-naptime-to-big-sleep/#atom-everything Source: Simon Willison’s Weblog Title: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Feedly Summary: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Google’s Project Zero security team used a system based around Gemini 1.5 Pro to find…
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Cloud Blog: When to use supervised fine-tuning for Gemini
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/supervised-fine-tuning-for-gemini-llm/ Source: Cloud Blog Title: When to use supervised fine-tuning for Gemini Feedly Summary: Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap…
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Simon Willison’s Weblog: Notes on OpenAI’s new o1 chain-of-thought models
Source URL: https://simonwillison.net/2024/Sep/12/openai-o1/ Source: Simon Willison’s Weblog Title: Notes on OpenAI’s new o1 chain-of-thought models Feedly Summary: OpenAI released two major new preview models today: o1-preview and o1-mini (that mini one is also a preview, despite the name) – previously rumored as having the codename “strawberry". There’s a lot to understand about these models –…
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Hacker News: PathPilot (YC S24) Is Hiring a Founding AI and Full-Stack Engineer
Source URL: https://www.ycombinator.com/companies/pathpilot/jobs/GlywVaz-founding-engineer-ai-full-stack Source: Hacker News Title: PathPilot (YC S24) Is Hiring a Founding AI and Full-Stack Engineer Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a job posting for a full-stack engineer specializing in large language models (LLMs) to drive the development of an AI-driven customer experience platform. Its focus…
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Simon Willison’s Weblog: Notes from my appearance on the Software Misadventures Podcast
Source URL: https://simonwillison.net/2024/Sep/10/software-misadventures/#atom-everything Source: Simon Willison’s Weblog Title: Notes from my appearance on the Software Misadventures Podcast Feedly Summary: I was a guest on Ronak Nathani and Guang Yang’s Software Misadventures Podcast, which interviews seasoned software engineers about their careers so far and their misadventures along the way. Here’s the episode: LLMs are like your…
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Simon Willison’s Weblog: Quoting Ethan Mollick
Source URL: https://simonwillison.net/2024/Sep/10/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: Telling the AI to “make it better" after getting a result is just a folk method of getting an LLM to do Chain of Thought, which is why it works so well.— Ethan Mollick Tags: prompt-engineering, ethan-mollick, generative-ai, ai, llms AI Summary…