Firstbatch Blog

Bringing You the Latest News
Explore the updates, news, articles about FirstBatch services and embeddings.
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CASE STUDY
RIGHT CONTENT AT THE RIGHT TIME
Social
September 29, 2023
With tailored algorithms, social platforms can drive ongoing participation by matching users with engaging content suited to their evolving interests over time.
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CASE STUDY
Offer Shoppers Product Even Before They Knew They Wanted Them
E-commerce
September 28, 2023
With our built-in algorithms tailored to ecommerce, you can boost your KPIs by serving personalized experiences that optimize the shopping journey.
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RESEARCH
Building Stronger AI Communities with Rich Data Sets and Collaborative Platforms
How Communities Are Shaping the Trajectory Through Open Collaboration
September 27, 2023
Explore how collaborative AI communities are transforming development - through collective learning, open data sharing, and decentralized participation. We discuss communities accelerating ethical AI via transparency and cooperation.
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RESEARCH
The Evolution of Open-Source AI Models: Introducing a Revolutionary VectorDB Platform
Democratizing AI Through Collaboration
September 22, 2023
The rise of open-source AI models and platforms like Hugging Face have made cutting-edge AI more accessible. However, issues with training data quality and biases persist. Introducing a new concept of a decentralized, crowdsourced data platform (collaborative VectorDB) to improve AI data quality.
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RESEARCH
Empowering Enterprise AI Strategies with Open-Source VectorDB Platforms
The Enterprise AI Revolution
September 20, 2023
Artificial intelligence is revolutionizing modern enterprises. But legacy systems pose challenges for data quality and model development. Explore how open-source vector databases enable collaboration and customization for next-generation enterprise AI.
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RESEARCH
The Past, Present & Future of E-Commerce
Get Ready for The New Gen Experiences
September 6, 2023
E-commerce personalization has progressed from basic search to recommendations. However, true hyper-personalization enabled by AI is still ahead. User embeddings that respect privacy will overcome limitations and enable tailored, conversational commerce.
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RESEARCH
Why Vector-Based Personalization is Better Than Its Alternatives
Vector Representations Revolutionize Personalization
September 6, 2023
Vector-based personalization uses embeddings to model user interests, overcoming limitations of rules, filtering, and segmentation. Vectors enable hyper-personalized recommendations from first interaction, capturing nuanced preferences beyond demographics.
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GENERATIVE AI
Retrieval Augmented Generation: Elevating Large Language Models in AI Development
The Promise and Potential of Retrieval Augmented Generation
September 6, 2023
Large language models like GPT stunned AI by generating coherent text, but face limitations from biased training data. Retrieval augmented generation enhances models by allowing them to retrieve relevant knowledge, improving consistency and reasoning. Open source access accelerates innovations like RAG.
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Service
A Game Changer for Privacy-Preserving & Decentralized LLMCache, ID Management, and Session Storage
July 28, 2023
HollowDB is a lightning-fast, permanent, and efficient privacy-preserving key-value database. It combines blockchain and zero-knowledge proofs for decentralized apps. With speeds up to 8ms put and get, HollowDB enables building high-performance solutions for AI, caching, identity management, and more with just a few clicks.
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User Embeddings
User Embeddings: The missing piece of the LLM stack
Advance Your AI Stack
July 27, 2023
Enhancing LLM stack with privacy, personalization and user control. Proposed solutions include decentralized data, zero-knowledge proofs and user embeddings for personalization. User embeddings address gaps and empower personalized AI assistants. Advancing AI ethically requires prioritizing privacy, fairness and transparency.