Working on a natural language intelligence layer for contacts - "Pull everyone I know who works at a Series A healthtech in the Bay Area who also went to Stanford for ungrad" => either structured or unstructured results. Large-scale data support, automatically enriched with up-to-date data, fast/accurate results. Integrates natively with Gmail and Gcal.
Looking to pilot for free with small qualified teams (early-stage startups with real/immediate need).
Working on a natural language intelligence layer for contacts - "Pull everyone I know who works at a Series A healthtech in the Bay Area who also went to Stanford for ungrad" => either structured or unstructured results. Large-scale data support, automatically enriched with up-to-date data, fast/accurate results. Integrates natively with Gmail and Gcal.
Looking to pilot for free with small qualified teams (early-stage startups with real/immediate need).
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
You can use embeddings to build classification models using various methods. Not sure what qualifies as "get help" level of cost/throughput, but certainly most providers offer large embedding APIs at much lower cost/higher throughput than their completion APIs.
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
Location: USA
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
LLM Solutions provides advisory and implementation services for everything LLM-related. We have developed novel approaches for leveraging LLMs against problems such as text classification, named entity recognition, semantic search and retrieval, and question/answer systems. If you have needs beyond typical "prompt engineering" and RAG-based systems, feel free to reach out.
Looking to pilot for free with small qualified teams (early-stage startups with real/immediate need).
[email protected]
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