CodeLlama 7B
PulseAugur coverage of CodeLlama 7B — every cluster mentioning CodeLlama 7B across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New AI framework trains code models to self-correct security flaws
Researchers have developed a novel framework called Tree Self-Play (TSP) to address the inherent security vulnerabilities in large language models trained on code. Current methods like supervised fine-tuning and reinfor…
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New LLM technique enhances secure code generation by learning from mistakes
Researchers have developed a new framework called Tree-like Self-Play (TSP) to improve the security of code generated by Large Language Models (LLMs). TSP reframes code generation as a sequential decision process, allow…
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Guides detail local LLM setup with llama.cpp and Ollama
This series of guides details how to set up and run large language models (LLMs) locally on Linux systems. It covers framework comparisons, focusing on llama.cpp and Ollama, and provides step-by-step installation instru…
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New MultiVul framework uses multimodal LLMs to boost software vulnerability detection
Researchers have developed MultiVul, a novel multimodal framework designed to enhance software vulnerability detection by integrating source code with accompanying comments. This approach addresses limitations of single…
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Replit releases open-source code model V1.5 3B on Hugging Face
Replit has released its new code generation language model, Replit Code V1.5 3B, on Hugging Face. This model is trained on a massive dataset of permissively licensed code and publicly available developer content, aiming…