Running Quantized Code Models on a Laptop Without a GPU | HackerNoon
In this research, a highly efficient run-time environment was established, utilizing the llama-cpp-python package to load and work with quantized LLMs for optimal performance.
Why Lua Is the Ideal Benchmark for Testing Quantized Code Models | HackerNoon
Low-resource languages like Lua offer unique challenges for code generation models, making them suitable test cases for evaluating performance and mitigating biases in instruction fine-tuning.
'Developers will need to adapt': Microsoft CEO Satya Nadella joins Google's Sundar Pichai in revealing the scale of AI-generated code at the tech giants - and it's a stark warning for software developers
Microsoft's Satya Nadella says AI is responsible for 20-30% of the company's code, indicating a transformative trend in software development.
'Developers will need to adapt': Microsoft CEO Satya Nadella joins Google's Sundar Pichai in revealing the scale of AI-generated code at the tech giants - and it's a stark warning for software developers
Microsoft's Satya Nadella says AI is responsible for 20-30% of the company's code, indicating a transformative trend in software development.
Think-and-Execute: The Experimental Details | HackerNoon
We employ several LLMs, including GPT-3.5-Turbo and GPT-4, alongside open-source LLM, CodeLlama, utilizing different models for diverse tasks in our experiments.
TurinTech reveals $20M in backing to fix problems in 'vibe coding' | TechCrunch
Vibe coding, facilitated by LLMs, raises concerns about efficiency and security in AI-generated code, prompting the launch of TurinTech's solution, Artemis.
TurinTech reveals $20M in backing to fix problems in 'vibe coding' | TechCrunch
Vibe coding, facilitated by LLMs, raises concerns about efficiency and security in AI-generated code, prompting the launch of TurinTech's solution, Artemis.
Textbooks Are All You Need: Conclusion and References | HackerNoon
High-quality data significantly enhances the performance of language models in code generation tasks, allowing smaller models to outperform larger ones.