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Tag: large language models

  • Hacker News: OpenCoder: Open Cookbook for Top-Tier Code Large Language Models

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    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…

  • Hacker News: OpenCoder: Open-Source LLM for Coding

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    Source URL: https://arxiv.org/abs/2411.04905 Source: Hacker News Title: OpenCoder: Open-Source LLM for Coding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “OpenCoder,” a large language model (LLM) specifically designed for code generation and related tasks. It highlights the importance of transparency in AI research by providing not only the model but also…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…

  • Hacker News: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence

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    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…

  • Slashdot: Interview with Programmer Steve Yegge On the Future of AI Coding

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    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)…

  • Simon Willison’s Weblog: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5

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    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…

  • Cloud Blog: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery

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    Source URL: https://cloud.google.com/blog/products/data-analytics/nl2sql-with-bigquery-and-gemini/ Source: Cloud Blog Title: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery Feedly Summary: The rise of Natural Language Processing (NLP) combined with traditional Structured Query Language (SQL) has given rise to an exciting new technology known as Natural Language to SQL, or NL2SQL, which translates questions phrased…

  • Schneier on Security: Prompt Injection Defenses Against LLM Cyberattacks

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    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…

  • Schneier on Security: Subverting LLM Coders

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    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…

  • Hacker News: Evaluating the World Model Implicit in a Generative Model

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    Source URL: https://arxiv.org/abs/2406.03689 Source: Hacker News Title: Evaluating the World Model Implicit in a Generative Model Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper delves into the evaluation of world models implicitly learned by generative models, particularly large language models (LLMs). It highlights the potential limitations and fragilities of these models in…