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www.singlestore.com | ||
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www.shaped.ai
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| | | | | When we first launched Shaped three and a half years ago, we had a singular vision: to democratize the personalization infrastructure used by big tech giants like Meta, Amazon, and Netflix. We wanted every company to be empowered to provide users with adaptive, intelligent interfaces, the kind where every interaction informs the very next pixel on the screen, making every digital surface dynamic. | |
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www.ai21.com
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| | | | | By grounding AI in an organization's unique expertise, Retrieval-Augmented Generation (RAG) helps enterprises overcome hurdles in deploying large language models. AI21's RAG Engine provides advanced retrieval capabilities without enterprises having to invest heavily in development and maintenance. | |
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electric-sql.com
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| | | | | Local AI with Postgres, pgvector and llama2, running inside a Tauri app with realtime sync powered by ElectricSQL ?? This is the architecture of the future! | |
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isthisit.nz
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| | | August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse. | ||
