Models

Write Readable Tests for Your Machine Learning Models with Behave

Use natural language to check the behavior of your ML modelsImagine you create an ML model to predict customer sentiment based on reviews. Upon deploying it, you realize that the model incorrectly labels certain...

Best practices for deploying language models

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

The Essential Library to Construct Segmentation Models

Construct and train a segmentation model with a couple of lines of codeThere are over 400 encoders, thus it’s impossible to point out all of them, but you'll find a comprehensive list here.Once the...

Constructing Customized Chatbots for the Web Using gpt-3.5-turbo, the Real Language Model Behind ChatGPT Great news for developers from OpenAI The code Explaining the code and the...

Summary, source code able to use, and an example chatbot to go play with immediatelyOpenAI released yesterday API endpoints for Whisper, their speech recognition engine, and for GPT-3.5-turbo, which, as explained on their website...

3 Ways to Keep Stale Facts Fresh in Large Language Models

Large Language Models (LLM) like GPT3, ChatGPT and BARD are all the trend today. Everyone has an opinion about how these tools are good or bad for society and what they mean for the...

Unpacking the “black box” to construct higher AI models

When deep learning models are deployed in the actual world, perhaps to...

Large language models are biased. Can logic help save them?

Seems, even language models “think” they’re biased. When prompted in ChatGPT, the...

Addressing criticism, OpenAI will now not use customer data to coach its models by default

Because the ChatGPT and Whisper APIs launch this morning, OpenAI is changing the terms of its API developer policy, aiming to deal with developer — and user — criticism. Starting today, OpenAI says that it...

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