Yet another startup wants to crack the LLM code but this time using light; optical pioneer Oriole Networks wants to train LLMs 100x faster with a fraction of the power ...

However, despite these challenges, progress is rapid. Karpathy suggested that we are entering the era of "Software 3.0." ...

Snippet: Mercury matches the performance of GPT-4.1 Nano and Claude 3.5 Haiku, running over seven times faster. Inception ...

As seen in the graphs above, the Ryzen AI 9 HX 375 shows off better performance than the Core Ultra 7 258V across all five tested LLMs, in both speed and time to start outputting text.

There were significant decreases in performance between March and June in GPT-4 responses relating to solving math problems, answering sensitive questions, and code generation. Stanford University ...

Qwen 2.5 Coder/Max is currently the top open-source model for coding, with the highest HumanEval (~70–72%), LiveCodeBench (70.7), and Elo (2056) ... Home » Artificial intelligence » Qwen 2.5 Coder and ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls.

Oriole Networks aims to train large language models 100 times faster using light for more efficient and sustainable AI.

A couple of years ago, Israeli startup CogniFiber made headlines with Deeplight, a fiber-optic cable which could, “process complex algorithms within the fiber itself before the signal hits the ...