Towards AI

FEBRUARY 3, 2024

My journey with AI Makerspace’s LLMOps cohort (learn more here) has been instrumental in shaping my approach to these topics. By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics.

AI 118

AI AI Database Machine Learning 118

AWS Machine Learning Blog

AUGUST 14, 2023

[Name]: Fred [Position]: Co-founder and CEO [Company]: Platform.sh ### [Text]: Microsoft (the word being a portmanteau of “microcomputer software”) was founded by Bill Gates on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800. Answer: Anytime ### Context: The main challenge with GPT-J is memory consumption.

AWS 71

AWS Natural Language Processing Machine Learning Machine Learning 71

Data Science 101

OCTOBER 12, 2023

Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. The semantic kernel is an API designed to help devs use AI services, especially large language models like GPT-3.5 It’s petabytes of data, so a lot of my time is spent processing it. I use PyTorch for that.

Azure 64

Azure Computer Science Computer Science Clustering 64

DrivenData Labs

DECEMBER 10, 2023

Here are a few common themes we saw across submissions: LLMs ¶ Many participants took advantage of recent developments in large language models like GPT-3.5/4 4 to tackle critical tasks like paper summarization and keyword extraction. bge-small-en-v1.5 bge-small-en-v1.5 bge-small-en-v1.5

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AI AI Natural Language Processing Artificial Intelligence 147