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#Art & Design #Adobe #ChatGPT #GitHub

#Supervised Fine-Tuning

Showing: 20 courses
Launchpad

A Transformer-Based Framework for Multivariate Time Series Representation Learning

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Explore a Transformer-based framework for multivariate time series analysis, covering challenges, model architecture, pre-training, fine-tuning, and applications in classification and forecasting.
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11 Lesons
21 minutes
On-Demand
Free-Video
Discover AI

Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO

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Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.
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1 Lesons
36 minutes
On-Demand
Free-Video
Discover AI

ORPO: A New Preference-Aligned Training Method for Large Language Models

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Explore a groundbreaking reference model-free optimization algorithm for LLM training, comparing ORPO's performance with Llama 2 and Mistral 7B through theoretical physics perspectives.
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1 Lesons
24 minutes
On-Demand
Free-Video
Discover AI

FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH

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Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.
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1 Lesons
27 minutes
On-Demand
Free-Video
Discover AI

Fine-tuning LLama 2 with PEFT, LoRA, 4-bit Quantization, TRL and SFT

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Master advanced LLama2 fine-tuning techniques using PEFT, LoRA, and 4-bit quantization while creating synthetic datasets with GPT-4 for customized model training.
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1 Lesons
15 minutes
On-Demand
Free-Video
Krish Naik

Inside ChatGPT- Unveiling the Training Process of OpenAI's Language Model

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Explore the training process behind ChatGPT, including generative pretraining, supervised fine-tuning, and reinforcement learning through human feedback. Gain insights into AI language model development.
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5 Lesons
21 minutes
On-Demand
Free-Video
Sam Witteveen

Yi 34B: The Rise of Powerful Mid-Sized Models - Base, 200k, and Chat

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Explore Yi 34B, a powerful mid-sized AI model. Learn about its performance, versions, and potential applications. Discover insights from AI expert Kai-Fu Lee and see practical demonstrations.
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13 Lesons
15 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

LLaMA 2 and Meta AI Projects - Interview with Thomas Scialom

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Insightful discussion with LLaMA 2 lead Thomas Scialom, covering his journey, Meta projects, and the future of AI. Explores key concepts like supervised fine-tuning and human preference in language models.
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7 Lesons
1 hour
On-Demand
Free-Video
Data Science Dojo

Fine Tune GPT-3.5 Turbo

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Comprehensive guide to customizing GPT-3.5 Turbo for specific use cases, enhancing performance, steerability, and output consistency through fine-tuning techniques.
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7 Lesons
52 minutes
On-Demand
Free-Video
Yannic Kilcher

ORPO: Monolithic Preference Optimization without Reference Model

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Innovative approach to language model preference alignment without separate fine-tuning, achieving state-of-the-art performance using odds ratio optimization across various model sizes.
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1 Lesons
33 minutes
On-Demand
Free-Video
LLMOps Space

Building the Fine-Tuning Pipeline for Alignment of LLMs

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Explore key aspects of aligning LLMs and set up infrastructure for a versatile alignment pipeline. Learn data collection, prompt tuning, and workflow management techniques.
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1 Lesons
45 minutes
On-Demand
Free-Video
LLMOps Space

Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques

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Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.
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1 Lesons
54 minutes
On-Demand
Free-Video
Yannic Kilcher

Big Self-Supervised Models Are Strong Semi-Supervised Learners

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Explore SimCLRv2, a powerful semi-supervised learning approach combining self-supervised pre-training, fine-tuning, and distillation to achieve state-of-the-art results with minimal labeled data.
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10 Lesons
38 minutes
On-Demand
Free-Video
Oxen

Understanding How Llama 3.1 Works - A Technical Deep Dive

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Dive into Meta's groundbreaking Llama 3 architecture, exploring pre-training techniques, model capabilities, synthetic data quality, and implementation strategies for advanced AI development.
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9 Lesons
52 minutes
On-Demand
Free-Video
Google Cloud Tech

Customizing Generative AI Models with Vertex AI

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Explore Vertex AI's capabilities for customizing foundation models, including supervised fine-tuning and distillation techniques, to enhance performance and create unique AI offerings.
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1 Lesons
37 minutes
On-Demand
Free-Video
MLOps.community

From Research to Production: Fine-Tuning and Aligning LLMs

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Learn essential steps for transitioning LLMs to production, focusing on fine-tuning and alignment strategies. Explore Supervised Fine-Tuning, RLHF, and DPO for effective LLM alignment with production goals.
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1 Lesons
38 minutes
On-Demand
Free-Video
DevConf

Creating Your Own LLM Tuning Platform with Open Source Technologies

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Explore open-source LLM tuning techniques using FMS HF Tuning. Learn architectural integration, various tuning methods, and deployment on Open Data Hub for enhanced AI solutions.
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1 Lesons
35 minutes
On-Demand
Free-Video
Massachusetts Institute of Technology

Aligning Language Models with LESS Data and Simple Preference Optimization (SimPO)

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Discover innovative approaches to language model alignment through LESS data selection and SimPO optimization, achieving superior performance with reduced computational resources and simplified objectives.
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1 Lesons
1 hour
On-Demand
Free-Video
USC Information Sciences Institute

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

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Explore a novel fine-tuning method for Large Language Models that improves performance without additional human-annotated data, using self-play mechanisms and theoretical guarantees.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Discover AI

Q-Learning and Hindsight Regeneration for Interactive AI Agents

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Explore groundbreaking Q-Learning techniques for AI agents, featuring Hindsight Regeneration and Q-SFT approaches that enhance conversational AI capabilities through advanced reinforcement learning methods.
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6 Lesons
12 minutes
On-Demand
Free-Video