Extractor API @extractorapi
Extract clean text and metadata from thousands of articles. Use the API or our online tool. Sign up now and get 1,000 requests free. extractorapi.com Joined May 2023-
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Want to learn a bit more about Retreivel Augmented Generation and how you can collect more data for your own RAG use cases? extractorapi.com/blog/retrieval…
extractorapi.com/blog/extractor… Pumped bring easy access to training/knowledge base data for AI and information gathering use cases
We’ve just released a new feature to pull in clean JSON responses from HTML tables. This opens up a whole new world of data extractor outside of traditional news use cases at Extractor.
Great talk from @truerezashabani from @Replit on training your own LLM @Data_AI_Summit
We’ll be updating you all on the journey of bootstrapping ExtractorAPI. Join us for the ups, downs, and hopefully tips to success along the way!
entrepreneurship rlly is the hardest thing in the world getting a 300k+ big-tech job only requires 3-4 months of leetcode grinding making a profitable 10k+ business takes focused efforts and mastery over so many skills (product development, marketing, design etc)
entrepreneurship rlly is the hardest thing in the world getting a 300k+ big-tech job only requires 3-4 months of leetcode grinding making a profitable 10k+ business takes focused efforts and mastery over so many skills (product development, marketing, design etc)
You can reduce your ChatGPT costs by 50% Using caching along with @LangChainAI 1. Reduce costs by 50% 2. Increase response speed by 90% In < 10 lines of code Github code and details below ↓
The power of @LangChainAI !
The power of @LangChainAI !
Anyone headed to @databricks @Data_AI_Summit? We’re super excited for their generative ai training amongst a host of other amazing sessions.
We're releasing 60+ lessons & practical projects on LangChain & Vector Databases in Production as our inaugural course within the Gen AI 360 Certification. Enroll at learn.activeloop.ai Why should you take it?
We are working on an exciting new release at Extractor that will allow you to scrape PDFs, word documents, and a variety of file types. What kind of use cases could you imagine if you had easy access to this data? #data #chatgpt #unstructureddata
We’re super excited about our ChatGPT plug-ins that will allow users to pull in current news data and other unstructured text to train their own use case!
"The Complete Bozos Guide to Document Loaders in @LangChainAI" • Document Loader basics • When to use Document Loader • Import data from Text & CSV • Loading data from Discord, Notion, Telegram Save This ↓
1/ The personal agent, that’s the big thing - Bill Gates Introducing LLynx🐈, a building block to help enable action-oriented AI Agents. It’s fast, accurate & small (3B params) 🙏Built on resources from @LangChainAI @hwchase17 @huggingface @_philschmid @chipro @lmoroney Demo👇
How to fit relevant data into LLM context window: Two options: • Chunk up text, store as embeddings, retrieve • Use LLM with larger context window like Claude (100k context window) monsieurBoutte in the BuildFast Community (buildfastcourse.com) answered it perfectly here:
Great article on how to train your own LLM. This specific use case focuses on code-generating models, however, you can also replicate it for a more language/chat use case. ExtractorAPI can be used as an inbound funnel for language training data. blog.replit.com/llm-training
Super interesting and exactly the type of use cases Extractor is looking to help with, building customized data pipelines into your own chatbots!
Super interesting and exactly the type of use cases Extractor is looking to help with, building customized data pipelines into your own chatbots!
Extract clean text and metadata from thousands of articles. Stop handling local libraries and let Extractor API take care of IP rotation, JavaScript rendering, retries and other headaches. Sign up now and get 1,000 requests free. extractorapi.com
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