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Fine-tuned LLMs and Distributed Training to elevate your Conversational AI game

Unlock the power of Large Language Models (LLMs) in this step-by-step guide to fine-tuning for specific tasks. From building a custom dataset to optimizing inference time, we'll walk you through the process of fine-tuning LLMs like GPT-3, OPT, and T5 for NLP tasks.

Fine-tuned LLMs and Distributed Training to elevate your Conversational AI game
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Top Python libraries of 2022
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Top Python libraries of 2022

A guide to optimizing Transformer-based models for faster inference
technical

A guide to optimizing Transformer-based models for faster inference

The guide to fine-tuning Stable Diffusion with your own images
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The guide to fine-tuning Stable Diffusion with your own images

Automatically measuring soccer ball possession with AI and video analytics
technical

Automatically measuring soccer ball possession with AI and video analytics

Object detection & tracking step by step guide: a hands-on exercise
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Object detection & tracking step by step guide: a hands-on exercise

Machine Learning 101: Build, Train, Test, Rinse & Repeat
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Machine Learning 101: Build, Train, Test, Rinse & Repeat

Announcing Norfair 2.0: an open-source real-time multi-object tracking library
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Announcing Norfair 2.0: an open-source real-time multi-object tracking library

ROS: the framework to accelerate your next robotics project
technical

ROS: the framework to accelerate your next robotics project

Assembling your Data Science tool belt: a road to Machine Learning
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Assembling your Data Science tool belt: a road to Machine Learning

From DALL·E to Stable Diffusion: how do text-to-image generation models work?
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From DALL·E to Stable Diffusion: how do text-to-image generation models work?

Modeling the consumer purchase decision
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Modeling the consumer purchase decision

MLOps World 2022 takeaways
events

MLOps World 2022 takeaways

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