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Fine-Tuning LLMs: Best Practices and When to Go Small
Posted Jun 01, 2023 | Views 1.9K
# Large Language Models
# LLM
# AI-powered Product
# Preemo
# Gradient.ai
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![avatar](https://cdn.gradual.com/images/https://d2xo500swnpgl1.cloudfront.net/uploads/mlops/Mark-Huang-ec5eb5ab-83cf-4fa7-9049-a459a39afef0-1683042367345.jpeg?fit=scale-down&width=320)
Mark Huang
Co-Founder @ Gradient
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From Research to Production: Fine-Tuning & Aligning LLMs // Philipp Schmid // AI in Production
Posted Feb 25, 2024 | Views 1.1K
# LLM
# Fine-tuning LLMs
# dpo
# Evaluation
Pitfalls and Best Practices — 5 lessons from LLMs in Production
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# LLM in Production
# Best Practices
# Humanloop.com
# Redis.io
# Gantry.io
# Predibase.com
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# Zilliz.com
# Arize.com
# Nvidia.com
# TrueFoundry.com
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# Continual.ai
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# Genesiscloud.com
# Rungalileo.io
Building and Curating Datasets for RLHF and LLM Fine-tuning
Posted Jun 20, 2023 | Views 874
# LLM in Production
# RLHF
# LLM Fine-tuning
# Argilla.io
# Redis.io
# Gantry.io
# Predibase.com
# Humanloop.com
# Anyscale.com
# Zilliz.com
# Arize.com
# Nvidia.com
# TrueFoundry.com
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