Search results
Results from the WOW.Com Content Network
Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
In December, Meta introduced the Llama 3.3 70B, ... This model offers the performance of Meta's largest Llama model, Llama 3.1 405B, but at a reduced cost. Last year in April, Meta announced its ...
Apache 2.0 Outperforms GPT-3.5 and Llama 2 70B on many benchmarks. [82] Mixture of experts model, with 12.9 billion parameters activated per token. [83] Mixtral 8x22B April 2024: Mistral AI: 141 Unknown Unknown: Apache 2.0 [84] DeepSeek LLM November 29, 2023: DeepSeek 67 2T tokens [85]: table 2 12,000}} DeepSeek License
[1] [2] The MMLU was released by Dan Hendrycks and a team of researchers in 2020 [ 3 ] and was designed to be more challenging than then-existing benchmarks such as General Language Understanding Evaluation (GLUE) on which new language models were achieving better-than-human accuracy.
Mistral AI was established in April 2023 by three French AI researchers: Arthur Mensch, Guillaume Lample and Timothée Lacroix. [17] Mensch, a former researcher at Google DeepMind, brought expertise in advanced AI systems, while Lample and Lacroix contributed their experience from Meta Platforms, [18] where they specialized in developing large-scale AI models.
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
Typically, LLMs are trained with single- or half-precision floating point numbers (float32 and float16). One float16 has 16 bits, or 2 bytes, and so one billion parameters require 2 gigabytes. The largest models typically have 100 billion parameters, requiring 200 gigabytes to load, which places them outside the range of most consumer electronics.
Llama Conservation status Domesticated Scientific classification Domain: Eukaryota Kingdom: Animalia Phylum: Chordata Class: Mammalia Order: Artiodactyla Family: Camelidae Genus: Lama Species: L. glama Binomial name Lama glama (Linnaeus, 1758) Domestic llama and alpaca range Synonyms Camelus glama Linnaeus, 1758 The llama (Lama glama) is a domesticated South American camelid, widely used as a ...