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Best Text Anonymization APIs in 2023
A Step-by-Step Guide to bring AI to your App using Bubble
How to use Landmark Detection API with Python in 5 minutes?
How to use Question Answering API for Text with Python in 5 minutes?
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Igniter helps you find the right AI tools and resources to get the job done faster. From the makers of Not A Bot 🤖 — the world’s most popular AI newsletter.
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Some applications will require not just a predetermined chain of calls to LLMs/other tools, but potentially an unknown chain that depends on the user’s input. In these types of chains, there is a “agent” which has access to a suite of tools. Depending on the user input, the agent can then decide which, if any, of these tools to call.
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Let’s consider some other benefits of AI tools for web designers, check out their shortcomings and limitations, and examine 11 of the best solutions in this niche that already help creatives make the web a better place with outstanding, high-end, and inspiring web designs done with AI assistance.
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In this video, we are joined by Harrison Chase, founder of LangChain. LangChain is a popular open source library focused on making it easier to build AI features and applications, specifically focused on integrating GPT and other language models.
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This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.
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LMOps is a research initiative on fundamental research and technology for building AI products w/ foundation models, especially on the general technology for enabling AI capabilities w/ LLMs and Generative AI models.
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Industrialization of Data Consumption by ML systems during both experimentation (historical batch) and production (batch & stream) — grow above & beyond toy-ML-with-csv and single-threaded-pickle-flasked-deployment.
[Link]{https://medium.com/@sunil_iitb/ml-systems-industrialization-and-mlops-b30106974454}
Loading your training data becomes an escalating challenge as datasets grow bigger in size and the number of nodes scales. We built StreamingDataset to make training on large datasets from cloud storage as fast, cheap, and scalable as possible. Specially designed for multi-node, distributed training, StreamingDataset maximizes correctness guarantees, performance, and ease of use.
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