Abstract: Large language models (LLMs) have rapidly become a powerful tool in automated code generation, yet most research has focused on their correctness and efficiency rather than the stylistic ...
I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...
ChatGPT and other vibe-coding tools were put to the test in nearly 40,000 matches – and lost to grad student code written before the invention of Large Language Models. In a new study from the UK, ...
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it ...
Abstract: The rapid emergence of Large Language Models (LLMs) has significantly advanced the field of code generation, sparking growing research interest across both academia and industry. While ...
I pass,say, 10, tools into the agent. agent translates into tool descriptions and sends to LLM LLM asked to genereate complex logic code to call those tools slectively the code returns to agent So we ...
Recent advances in large language models (LLMs) have accelerated their adoption in software engineering contexts. However, concerns persist about the structural quality of the code they produce. In ...
YZi Labs has led an $11 million seed funding round for VideoTutor, an emerging AI-powered education startup that converts student questions into personalized animated lessons. The investment marks YZi ...
Max Tokens is the maximum number of tokens the model can generate during a run. The model will try to stay within this limit across all turns. If it exceeds the specified number, the run will stop and ...
Meta FAIR released Code World Model (CWM), a 32-billion-parameter dense decoder-only LLM that injects world modeling into code generation by training on execution traces and long-horizon ...
What specific problem does this solve? Users struggle to find relevant code with plain vector search when queries are vague, natural‑language, or use synonyms that ...
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