Tag: language models
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Hacker News: Physical Intelligence’s first generalist policy AI can finally do your laundry
Source URL: https://www.physicalintelligence.company/blog/pi0 Source: Hacker News Title: Physical Intelligence’s first generalist policy AI can finally do your laundry Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents significant advancements in robot foundation models, specifically the development of π0, a model aiming to endow robots with physical intelligence. It highlights the challenges and…
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Hacker News: LLMs have indeed reached a point of diminishing returns
Source URL: https://garymarcus.substack.com/p/confirmed-llms-have-indeed-reached Source: Hacker News Title: LLMs have indeed reached a point of diminishing returns Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the limitations and diminishing returns of scaling in AI, particularly in deep learning and large language models (LLMs). It highlights a growing recognition within the industry of…
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Hacker News: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models
Source URL: https://opencoder-llm.github.io/ Source: Hacker News Title: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: OpenCoder represents a significant advancement in the field of code-focused language models (LLMs) by being a completely open-source project. It leverages a transparent data process and extensive training datasets that…
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Hacker News: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
Source URL: https://arxiv.org/abs/2410.21228 Source: Hacker News Title: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents a comparative study of Low-Rank Adaptation (LoRA) and full fine-tuning for large language models (LLMs). It reveals significant differences in how each method alters pre-trained models, particularly focusing…
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Slashdot: Interview with Programmer Steve Yegge On the Future of AI Coding
Source URL: https://developers.slashdot.org/story/24/11/07/1926221/interview-with-programmer-steve-yegge-on-the-future-of-ai-coding Source: Slashdot Title: Interview with Programmer Steve Yegge On the Future of AI Coding Feedly Summary: AI Summary and Description: Yes Summary: The text discusses an interview with programmer Steve Yegge, highlighting his insights on the evolution of programming due to AI-powered coding assistants, particularly focusing on how large language models (LLMs)…
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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…