Since Jugalbandi was introduced to villagers in Biwan in early April, it has expanded to cover 10 of India’s 22 official languages With help from next-generation AI, Indian villagers gain easier access to government services – Microsoft Stories India https://
bit.ly/3N7HFQh
GENERATIVE AI
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AI Expands Government Access Across India’s Languages
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Microsoft Developing Private ChatGPT for Dedicated Servers
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For businesses concerned about #dataleaks and #regulatorycompliance, #Microsoft may be building a private #ChatGPT for dedicated servers. The cost could be 10x more than the regular offering. (#OpenAI may be doing this too.) #GenAI #AI #privacy
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Data Leverage AI Technology Financial Sector Capital One
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this fascinating chat between @ajratner and Nurtekin Savas, Head of Enterprise Data Science at @CapitalOne where they delve into the critical role of data to leverage new AI tech in the financial sector. https://
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ChatGPT Experience Workers Needed for Podcast Project
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Se buscan trabajadores con Experiencia en ChatGPT #podcast
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OpenSearch Tutorial: Document Embedding and Semantic Search
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3/ The tutorial includes step-by-step instructions to set up an OpenSearch instance, embed documents using Cohere, create an index for your documents, and query similar documents using Cohere embeddings.
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Semantic Search Power with OpenSearch and Cohere Embeddings
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5/ Try it out to experience the power of semantic search firsthand. With OpenSearch's scalability and Cohere's high-quality embeddings, the potential for improved text search is boundless. https://
dashboard.cohere.ai/welcome/regist
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OpenSearch Vector Search Leverages Cohere Embeddings for Enhanced Relevance
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2/ The demo demonstrates how to leverage OpenSearch's support for vector search and Cohere’s high-quality embeddings to improve text search capabilities. This brings more context and relevance to search results than traditional keyword-based methods.
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Design Richer GPT-4 Prompts with Expert Tips
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Design richer @OpenAI GPT-4 prompts with tips from @GioTarraf
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AI Code Generation for Complete Applications
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Note here by code AI I’m talking about generating whole apps not snippets.
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Content Consumption Patterns in AI Review and Analysis
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Maybe this is because it’s easier to review images and text rather than code and video? You can just scan and pick what you want? Id love to hear your thoughts. My thoughts above are based on the data we’re seeing so far.