Tag: llms
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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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Hacker News: How to Solve It with Code
Source URL: https://www.answer.ai/posts/2024-11-07-solveit.html Source: Hacker News Title: How to Solve It with Code Feedly Summary: Comments AI Summary and Description: Yes Summary: The announcement of fast.ai joining Answer.AI marks a significant evolution in AI education with a new course designed to enhance collaboration between humans and AI through a method dubbed “Dialog Engineering.” This innovative…
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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…
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Schneier on Security: Prompt Injection Defenses Against LLM Cyberattacks
Source URL: https://www.schneier.com/blog/archives/2024/11/prompt-injection-defenses-against-llm-cyberattacks.html Source: Schneier on Security Title: Prompt Injection Defenses Against LLM Cyberattacks Feedly Summary: Interesting research: “Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks“: Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new defense…
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Schneier on Security: Subverting LLM Coders
Source URL: https://www.schneier.com/blog/archives/2024/11/subverting-llm-coders.html Source: Schneier on Security Title: Subverting LLM Coders Feedly Summary: Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often…