Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
Hosted on MSN
Anthropic study reveals it's actually even easier to poison LLM training data than first thought
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...
A team of researchers in Japan released Fugaku-LLM, a large language model with enhanced Japanese language capability, using the RIKEN supercomputer Fugaku. A team of researchers in Japan released ...
Lilac AI’s suite of products when integrated with Databricks could help enterprises explore their unstructured data and use it to build generative AI applications. Data lakehouse provider Databricks ...
Most of us feel like we’re drowning in data. And yet, in the world of generative AI, a looming data shortage is keeping some researchers up at night. GenAI is unquestionably a technology whose ...
Artificial intelligence training data provider Scale AI Inc., which serves the likes of OpenAI and Nvidia Corp., today published the results of its first-ever SEAL Leaderboards. It’s a new ranking ...
Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback