Канал: Predibase

Building Better Models Faster with Synthetic Data

Building Better Models Faster with Synthetic Data

Fine-Tuning SLMs for Enterprise-Grade Evaluation & Observability

Fine-Tuning SLMs for Enterprise-Grade Evaluation & Observability

Next Gen Inference for Fine-tuned LLMs - Blazing Fast & Cost-Effective

Next Gen Inference for Fine-tuned LLMs - Blazing Fast & Cost-Effective

Streamlining Background Checks with Fine-tuned Small Language Models on Predibase

Streamlining Background Checks with Fine-tuned Small Language Models on Predibase

Why Apple and Other AI Leaders are Betting Big on Small Language Models

Why Apple and Other AI Leaders are Betting Big on Small Language Models

Welcome Address and Agenda Overview

Welcome Address and Agenda Overview

Beat GPT-4 with a Small Model and 10 Rows of Data

Beat GPT-4 with a Small Model and 10 Rows of Data

How to Reduce Your OpenAI Spend by up to 90% with Small Language Models

How to Reduce Your OpenAI Spend by up to 90% with Small Language Models

Predibase Platform Overview: Small Language Models for Specialized AI

Predibase Platform Overview: Small Language Models for Specialized AI

Introducing Solar LLM: The Best LLM for Fine-tuning that beats GPT-4, exclusively on Predibase

Introducing Solar LLM: The Best LLM for Fine-tuning that beats GPT-4, exclusively on Predibase

Ludwig Community Sync: 06/14/2024

Ludwig Community Sync: 06/14/2024

Snowflake + Predibase: Smaller, faster & cheaper LLMs that beat GPT-4

Snowflake + Predibase: Smaller, faster & cheaper LLMs that beat GPT-4

Speed Up LLM Development with Synthetic Data and Fine-tuning

Speed Up LLM Development with Synthetic Data and Fine-tuning

How we accelerated LLM fine-tuning by 15x in 15 days

How we accelerated LLM fine-tuning by 15x in 15 days

How I became a Ludwig Contributor

How I became a Ludwig Contributor

Dickens: an LLM that Writes Great Expectations

Dickens: an LLM that Writes Great Expectations

Virtual Workshop: Fine-tune Your Own LLMs that Rival GPT-4

Virtual Workshop: Fine-tune Your Own LLMs that Rival GPT-4

LLM Tutorial: Generate Docstring with Fine-tuned CodeLlama-13b

LLM Tutorial: Generate Docstring with Fine-tuned CodeLlama-13b

LoRA Bake-off: Comparing Fine-Tuned Open-source LLMs that Rival GPT-4

LoRA Bake-off: Comparing Fine-Tuned Open-source LLMs that Rival GPT-4

Ludwig Hackathon Winner: Building a Tax FAQ Chatbot with LLMs

Ludwig Hackathon Winner: Building a Tax FAQ Chatbot with LLMs

Ludwig Hackathon Winner: Assessing Health Data with ML

Ludwig Hackathon Winner: Assessing Health Data with ML

LoRA Land: How We Trained 25 Fine-Tuned Mistral-7b Models that Outperform GPT-4

LoRA Land: How We Trained 25 Fine-Tuned Mistral-7b Models that Outperform GPT-4

Predibase Platform Demo: Efficient Fine-tuning and Serving

Predibase Platform Demo: Efficient Fine-tuning and Serving

5 Reasons Why Adapters are the Future of Fine-tuning LLMs

5 Reasons Why Adapters are the Future of Fine-tuning LLMs

Fine-Tuning Zephyr-7B to Analyze Customer Support Call Logs

Fine-Tuning Zephyr-7B to Analyze Customer Support Call Logs

12 Best Practices for Distilling Smaller LLMs with GPT

12 Best Practices for Distilling Smaller LLMs with GPT

7 Things You Need to Know About Fine-Tuning LLMs

7 Things You Need to Know About Fine-Tuning LLMs

Serve 100s of Fine-tuned LLMs for the Cost of Serving One with LoRAX

Serve 100s of Fine-tuned LLMs for the Cost of Serving One with LoRAX

How–and when–to fine-tune and serve LLMs

How–and when–to fine-tune and serve LLMs

ML Real Talk: Building Responsible Generative AI Applications

ML Real Talk: Building Responsible Generative AI Applications

Panel Discussion w/ LlamaIndex: Building Custom LLMs in Production

Panel Discussion w/ LlamaIndex: Building Custom LLMs in Production

Efficiently Build Custom LLMs on Your Data with Open-source Ludwig

Efficiently Build Custom LLMs on Your Data with Open-source Ludwig

ML Real Talk: 10 Things You Must Know About LLMs

ML Real Talk: 10 Things You Must Know About LLMs

Machine Learning Tutorial: Fraud Detection

Machine Learning Tutorial: Fraud Detection

Go From Engineer to ML Engineer with Declarative Machine Learning

Go From Engineer to ML Engineer with Declarative Machine Learning

Machine Learning Tutorial: Named Entity Recognition

Machine Learning Tutorial: Named Entity Recognition

ML Real Talk Episode 2: MLOps Best Practices in the LLM era

ML Real Talk Episode 2: MLOps Best Practices in the LLM era

Build Your Own LLM in Less Than 10 Lines of YAML

Build Your Own LLM in Less Than 10 Lines of YAML

Privately Host and Customize Large Language Models for Your ML Tasks

Privately Host and Customize Large Language Models for Your ML Tasks

ML Real Talk: Take Your Computer Vision Models to the Next Level

ML Real Talk: Take Your Computer Vision Models to the Next Level

AutoML 2.0: Control what you want, automate the rest

AutoML 2.0: Control what you want, automate the rest

Machine Learning Tutorial: Topic Classification

Machine Learning Tutorial: Topic Classification

Machine Learning Tutorial: Customer Sentiment

Machine Learning Tutorial: Customer Sentiment

Machine Learning Tutorial: Audio Classification

Machine Learning Tutorial: Audio Classification

AutoML for Deep Learning with Ludwig

AutoML for Deep Learning with Ludwig

Hands-on with Multi-Modal Machine Learning and Predicting Customer Reviews

Hands-on with Multi-Modal Machine Learning and Predicting Customer Reviews

Santavision: Building a holiday-themed image classifier in less than 15 lines of code

Santavision: Building a holiday-themed image classifier in less than 15 lines of code

Intro to Declarative Machine Learning Systems: The Future of Low-code ML

Intro to Declarative Machine Learning Systems: The Future of Low-code ML