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Jul 11, 2023 · "We are proud to help our customers stay ahead of the curve through partnerships like this one with Anthropic." Sourcegraph is a code AI platform that helps customers write, fix, and maintain code. Their coding assistant Cody uses Claude 2’s improved reasoning ability to give even more accurate answers to user queries while also passing along more codebase context with up to 100K context ...
Anthropic builds frontier AI models backed by uncompromising integrity. Secure With accessibility via AWS and GCP, SOC 2 Type II certification, and HIPAA compliance options, Claude adheres to the security practices your enterprise demands.
Anthropic builds frontier AI models backed by uncompromising integrity. Secure With accessibility via AWS and GCP, SOC 2 Type II certification, and HIPAA compliance options, Claude adheres to the security practices your enterprise demands.
Anthropic is a Public Benefit Corporation, whose purpose is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. Our Board of Directors is elected by stockholders and our Long-Term Benefit Trust, as explained here. Current members of the Board and the Long-Term Benefit Trust (LTBT) are listed below.
Anthropic PBC is a U.S.-based artificial intelligence (AI) startup public-benefit company, founded in 2021. It researches and develops AI to "study their safety properties at the technological frontier" and use this research to deploy safe, reliable models for the public.
Customer support. Claude can handle ticket triage, on-demand complex inquiries using rich context awareness, and multi-step support workflows—all with a casual tone and conversational responses. Create user-facing experiences, new products, and new ways to work with the most advanced AI models on the market.
At Anthropic we believe safety research is most useful when performed on highly capable models. Every year, we see larger neural networks which perform better than those that came before. These larger networks also bring new safety challenges. We study and engage with the safety issues of large models so that we can find ways to make them more ...
