Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

Qwen 3.6 27B actually gave me better answers in basically every test.

After months of testing local LLMs, I found that productivity depends on tools, not just models.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of Abacus.AI, New York University, ...

Gentrace, a developer platform for testing and monitoring artificial intelligence applications, said today it has raised $8 million in an early-stage funding round led by Matrix Partners to expand ...

Traditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and ...

MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...

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IBM has inked an agreement with AI Singapore (AISG) to test the latter's Southeast Asian large language model (LLM) and make it available for developers to build customized artificial intelligence (AI ...

Microsoft Corp. has developed a series of large language models that can rival algorithms from OpenAI and Anthropic PBC, multiple publications reported today. Sources told Bloomberg that the LLM ...