LLM Evals For Developer Tools: Useful, Correct, Safe
A new guide helps developers evaluate the usefulness, correctness, and safety of LLM features in their tools. The guide covers LLM-powered code suggestions and code fixes.
- Developers can use a new guide to evaluate LLM features in their tools
- The guide covers the usefulness, correctness, and safety of LLM features
- LLM-powered code suggestions and code fixes are among the features evaluated
The integration of Large Language Models (LLMs) into developer tools has become increasingly popular.
However, it is crucial to evaluate these features for their usefulness, correctness, and safety. A recent guide provides developers with a framework to assess LLM-powered features such as inline code suggestions and code fixes.
The guide emphasizes the importance of considering the potential risks and limitations of LLMs, including bias, security vulnerabilities, and incorrect suggestions.
By following the guide, developers can ensure that their LLM-powered features are reliable, efficient, and safe to use.
helps them build more reliable and efficient tools
improves the overall quality of software development
- LLM
- Large Language Model, a type of artificial intelligence model
AI ToolsSmash Story: The Demo Script That Out-Debugged My Test Suite
Japan’s Enterprises and Startups Build Industry-Specialized AI With NVIDIA Nemotron Open Models - NVIDIA Newsroom
AI ToolsNVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI
Cadence rolls out AI agent to speed circuit board, chip packaging design - Reuters
Cadence Automates PCB Design With AI Super Agents - Forbes
BusinessMicrosoft is reportedly training salespeople to talk down OpenAI and Anthropic
Microsoft is reportedly instructing its sales teams to emphasize the cost-efficiency and performance of its own internal AI models over competitors like OpenAI and Anthropic.
xai-org/grok-build, now open source
xAI released the source code for its Grok CLI tool after users discovered it uploaded entire directories, including sensitive files like SSH keys, to its servers.
Open SourceThinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort
Thinking Machines Lab launched Inkling, a 975B-parameter open-weights multimodal model featuring controllable thinking effort and Apache 2.0 licensing.
Nvidia to partner with Toyota's Woven City on physical AI tech - Nikkei Asia
Nvidia is partnering with Toyota's Woven City to develop physical AI technologies for robotics and smart city infrastructure.
Nvidia Releases New Robotics AI Model - The Information
Nvidia has released a new robotics AI model, a significant development in the field of artificial intelligence. The model is designed to improve the capabilities of robots in various industries.
Nvidia Expands Toyota AI Partnership for Smart Cities, Factories - Bloomberg.com
Nvidia announced an expanded partnership with Toyota to deploy AI technologies in smart city infrastructure and manufacturing plants.