Category: BLOOM
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10 Best vector databases for building AI Apps with embeddings
Building an AI-based semantic search or Q&A application? You might need is a vector database to store and search your embeddings easily. As part of my experiments with creating embeddings for AI semantic search, I have been collecting and trying out various Vector databases. This guide lists the best vector databases I have come across…
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Run 100B+ Language Models at Home with Petals
Large language models like GPT-3 are huge and require a large of GPUs to run on. But what if we could all run 100+B Language models right on our computers? Petals is here to help! With its BitTorrent-style approach, you can now run language models with over 100 billion parameters at home. Petals allow you…
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Best guide to detecting AI-generated content in 2023
With the popularity of text-generation AI tools like chatGPT and GPT3/3.5, detecting AI-generated content has become important for publishers and readers. We look at tools for detecting AI-generated content. Tools for detecting AI-generated content HuggingFace OpenAI Detector HuggingFace provides a free online tool for detecting AI-generated content. It has some limitations in that it’s not…
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Generate Content Using Open Source BLOOM AI model: Complete guide
BLOOM is a GPT-3 like Open Source AI model capable of generating content in 59 languages. BLOOM AI model was created by an Open Source Research group called Big Science. It has 176 Billion parameters. In most cases, the more parameters an AI model has, the more capable it is. BLOOM AI model is Open…