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How to Build Your Own LLM Coding Assistant With Code Llama ?

Towards AI

You can ask the chatbot questions, and it will answer in natural language and with code in multiple programming languages. We will use the Hugging Face transformer library to implement the LLM and Streamlit for the Chatbot front end. This makes them very good at text generation. Not this Llama.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning Blog

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Journey to AI blog

But we’ve faced a paradoxical challenge: automation is labor intensive. Building a model requires specialized, hard-to-find skills — and each new task requires repeating the process. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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Five open-source AI tools to know

IBM Journey to AI blog

The readily available nature of open-source AI also raises security concerns; malicious actors could leverage the same tools to manipulate outcomes or create harmful content. Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute.

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NLP News Cypher | 09.06.20

Towards AI

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 In a recent blog post, Yufeng Li discusses this compression technique and how awesome it is to reduce latency on your models in production!! Revival Welcome back, and what a week?!?! if you enjoy the read! ?

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning Blog

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee.

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IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before

IBM Journey to AI blog

If you want to start a different task or solve a new problem, you often must start the whole process over again—it’s a recurring cost. Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. That sounds like a joke, but we’re quite serious.