LLM

Weight & Bias (W&B), an American AI developer platform, announced on the 2nd that it has began operating the 'Horangi Korean LLM Leaderboard', which discloses the rating of the Korean language performance evaluation results...

A picture can convey an important deal, yet it can also be marred by various issues comparable to motion blur, haze, noise, and low dynamic range. These problems, commonly known as degradations in low-level...

It has been identified that the rapidly growing artificial intelligence (AI) model is threatened by a scarcity of knowledge. The reason is that there might be limitations in improving AI model performance inside...

A synthetic intelligence (AI) model that focuses on reading and understanding human emotions has emerged. The intention is to read 53 sorts of emotions, accurately discover human intentions, and help the large-scale language...

Rakuten has launched a big language model (LLM) trained on a large-scale Japanese dataset. The reason is that the tokenizer vocabulary was significantly increased to process complex Japanese characters, and the common rating...

Because the applications of enormous language models expand into specialized domains, the necessity for efficient and effective adaptation techniques becomes increasingly crucial. Enter RAFT (Retrieval Augmented High quality Tuning), a novel approach that mixes...

Sambanova claimed to have launched a groundbreaking artificial intelligence (AI) model that processes 330 tokens in a single second. The reason is that Databricks has surpassed 'DBRX', which is alleged to have the...

Meta has devised a recent method to unravel the 'Reversal Curse' problem of huge language models (LLM). The reversal curse is an issue through which, regardless that you've learned that ‘A is B’,...