After the highly successful launch of Gemma 1, the Google team introduced an even more advanced model series called Gemma 2. This new family of Large Language Models (LLMs) includes models with 9 billion (9B) and 27 billion (27B) parameters. Gemma 2 offers higher performance and greater inference efficiency than its predecessor, with significant safety […]
The post 3 Ways of Using Gemma 2 Locally appeared first on MachineLearningMastery.com.
Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily…
Search-augmented large language models (LLMs) excel at knowledge-intensive tasks by integrating external retrieval. However, they…
This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health,…
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of…
New York governor Kathy Hochul says she will propose a new law allowing limited autonomous…
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements,…