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James Briggs

As seen in: Medium, The Startup, Nature, Thorax, Flipboard, The Next Web, Science Magazine, Towards Data Science, KDnuggets, DataCamp
AI - aurelio.ai - youtube.com/c/jamesbriggs

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James Briggs’s Journalist Portfolio

Natural Language Processing (NLP) for Semantic Search

Natural Language Processing (NLP) for Semantic Search

Learn how to make machines understand language as people do. This free course covers everything you need to b…

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Facebook AI Similarity Search (Faiss): The Missing Manual | Pinecone

Facebook AI Similarity Search (Faiss): The Missing Manual | Pinecone

Facebook AI Similarity Search (Faiss) is one of the most popular implementations of efficient similarity sear…

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BERTopic: The Future of Topic Modeling | Pinecone

BERTopic: The Future of Topic Modeling | Pinecone

90% of the world's data is unstructured. It is built by humans, for humans. That's great for human consumptio…

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Articles

Semantic Search with Pinecone

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By James Briggs
| DataCamp
Vector databases enable semantic search - searching on the meaning of the text - to provide higher quality results than traditional keyword search. In this project, you'll learn how to use Pinecone, a popular vector database platform, to do this. You'll start by setting up a developer account with Pinecone and integrating it with Workspace, and learn how to "embed text" and import it into Pinecone, before using it for search.
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Gas prices are way down

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By James Briggs
| Flipboard
This Dog Trainer Is Begging People to Stop Using This One-Word Command Let’s start out by congratulating you! Training a dog is no easy feat. We applaud your efforts and acknowledge it is one of the biggest …
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LangChain AI Handbook

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By James Briggs, Francisco Ingham
| pinecone.io
An overview of the core components of LangChain. Prompt Templates and the Art of Prompts The art and science behind designing better prompts. Exploring how LangChain supports modularity and composability with chains. Enabling the next wave of intelligent chatbots using conversational memory. How ReAct and conversational agents can be used to supercharge LLMs with tools. How we build custom tools for use with agents. Exploring how we can build retrieval-augmented conversational agents.
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