Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
What if the next breakthrough in artificial intelligence wasn’t locked behind corporate walls but was instead placed in the hands of everyone? Enter the Mistral 3 family of AI models, a innovative ...
The availability of these models in multiple configurations ensures that they can be fine-tuned for specific tasks, whether in natural language processing, reasoning, or domain-specific applications.
The Allen Institute for AI (Ai2) has released Bolmo, a new family of AI models that represents a shift in how machines can ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
ShengShu Technology and Tsinghua University's TSAIL Lab have jointly announced the open-sourcing of TurboDiffusion ( a new acceleration framework that delivers 100 to 200 times faster AI video ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
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