Anthropic introduces Claude 3.5 Sonnet, a model that outperforms Claude 3 Opus on several tests despite costing far less. It also debuts Artifacts, a workspace for working with generated code and documents.
DeepSeek has released Coder V2, an open family of programming and mathematics models based on a mixture-of-experts architecture. Its largest version has 236 billion parameters, though it activates 21 billion per query.
Snowflake has introduced Arctic, a mixture-of-experts language model with 480 billion total parameters and an Apache 2.0 license. It is designed to generate SQL, code and useful answers in enterprise environments.
Microsoft has launched Phi-3-mini, a 3.8-billion-parameter language model designed to perform like much larger systems. Its compact size makes it easier to run generative AI on phones, computers and lower-cost applications.
Databricks introduces DBRX, an open mixture-of-experts model with 132 billion total parameters. It activates 36 billion per query, raising the bar for enterprise open models.
Anthropic unveils Claude 3, a family of three vision-capable models with a 200,000-token context window. Its Opus model leads GPT-4 on several benchmarks, although those tests do not fully measure its real-world usefulness.
Anthropic opens Claude 2 to the public in the US and UK, with a 100,000-token context window and notable gains in coding, math and reasoning.
Anthropic has announced a $450 million funding round led by Spark Capital to develop Claude. The investment strengthens one of OpenAI’s leading rivals in language models, with a stated focus on safety.
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