Search results
Results from the Tech24 Deals Content Network
e. A large language model ( LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. Based on language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a computationally ...
Foundation model. License. Meta Llama 3 Community License [ 1] Website. llama .meta .com. Llama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. [ 2][ 3] The latest version is Llama 3.1, released in July 2024. [ 4]
Website. openai .com /gpt-4. Generative Pre-trained Transformer 4 ( GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [ 1] It was launched on March 14, 2023, [ 1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...
API company Kong is launching its open source AI Gateway, an extension of its existing API gateway that allows developers and operations teams to integrate their applications with one or more ...
The tech layoff wave is still going strong in 2024. Following significant workforce reductions in 2022 and 2023, this year has already seen 60,000 job cuts across 254 companies, according to ...
Both the BioNeMo LLM Service and LLM Service include the option to use ready-made and custom models through a cloud API. Usage of the services also grants customers access to the NeMo Megatron ...
During its first-ever developer conference on Monday, OpenAI previewed GPT-4 Turbo, a brand new version of the large language model that powers its flagship product, ChatGPT. The newest model is ...
BERT is meant as a general pretrained model for various applications in natural language processing. That is, after pre-training, BERT can be fine-tuned with fewer resources on smaller datasets to optimize its performance on specific tasks such as natural language inference and text classification , and sequence-to-sequence-based language ...