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For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...
The people closest to the data know the truth: messy, incomplete or poorly governed data cannot support effective AI. Yet ...
Chartis Research has named SAS a Category Leader in the three RiskTech Quadrants® comprising its recently published ...
ERNIE-4.5-21B-A3B-Thinking is available now on Hugging Face under an enterprise-friendly Apache 2.0 license — allowing for commercial usage — and is specifically optimized for advanced reasoning, tool ...
AI infrastructure is the specialized combination of high-performance computing hardware, data centers, networking systems, ...
The multitude of Python tools makes for many choices and many potential pitfalls. Streamline your AI projects by ...
The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...
The Buzz Around Google Cloud’s Latest Blockchain Bet In the ever-evolving world of blockchain technology, Alphabet‘s ...
The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...
Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...
Used luxury SUVs can be a bargain buy thanks to their stereotypically rapid depreciation rate, meaning you get a lot of SUVs for not a lot of money. Depending on what you look at, you could get a very ...
bedrock models - claude models are not working with the after_model_callback param in LlmAgent class
When the bedrock model is wrapped with LiteLlm with proper prefix (for e.g. bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0) and passed in LlmAgent it works if we don't provide the ...
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