|
Ludwig AutoML for Deep Learning
|
Anne Holler |
2022-02-14 |
2,436 |
--
|
|
Ludwig AutoML for Text Classification
|
Anne Holler |
2022-05-02 |
3,543 |
--
|
|
Introducing Predibase: The enterprise declarative machine learning platform
|
Piero Molino |
2022-05-11 |
1,899 |
--
|
|
Ludwig 0.5: Declarative Machine Learning, now on PyTorch
|
Justin Zhao, Jim Thompson and Piero Molino |
2022-06-28 |
1,707 |
--
|
|
Ludwig 0.6: Gradient Boosted Models, Config Validation, and Pipelined TorchScript
|
Justin Zhao and Jim Thompson |
2022-10-04 |
2,796 |
--
|
|
How Declarative ML Is Transforming Data Science
|
Kevin Petrie |
2022-10-18 |
1,592 |
--
|
|
Unit Test ML Models in PyTorch for Gradient Updates
|
Jim Thompson |
2022-10-26 |
1,463 |
--
|
|
How to Run Inference on Ludwig Models Using TorchScript
|
Geoffrey Angus |
2022-12-05 |
2,087 |
--
|
|
Boost Tabular Data Predictions with Tree Models in Ludwig 0.6
|
Daliana Liu and Joppe Geluykens |
2022-12-20 |
1,525 |
--
|
|
10 AI Predictions that Will Shape 2023 and Beyond
|
Michael Ortega |
2023-01-24 |
1,578 |
--
|
|
Using Multi-Modal ML to Predict Customer Ratings
|
Abhay Malik |
2023-01-31 |
2,324 |
--
|
|
Ludwig v0.7: Fine-tuning Pretrained Image and Text Models 50x Faster and Easier
|
Travis Addair |
2023-02-27 |
2,080 |
--
|
|
Deep Learning for Topic Classification on Unstructured Text
|
Daliana Liu |
2023-03-14 |
2,009 |
--
|
|
Build an NER Model for Molecular Biology Terms
|
Connor McCormick |
2023-05-12 |
2,048 |
--
|
|
Build AI Applications Faster with Declarative ML
|
Abhay Malik |
2023-05-31 |
923 |
--
|
|
Declarative ML for Fraud Detection and Imbalanced Data
|
Daliana Liu |
2023-06-14 |
2,175 |
--
|
|
Beyond Chat: Real Use Cases for LLMs in Production
|
Joppe Geluykens, Geoffrey Angus and Miheer Patankar |
2023-06-27 |
1,297 |
--
|
|
How to Fine-Tune LLaMA-2 on Your Own Data at Scale
|
Arnav Garg |
2023-07-20 |
3,138 |
--
|
|
Guide: How to Prevent Overfitting in Machine Learning Models
|
Daliana Liu and Geoffrey Angus |
2023-07-31 |
2,126 |
--
|
|
Ludwig v0.8: Open-source Toolkit to Build and Fine-tune Custom LLMs on Your Data
|
Travis Addair and Arnav Garg |
2023-08-09 |
3,260 |
--
|
|
Maximize Zero-Shot LLM Performance on Tabular Data
|
Timothy Wang and Justin Zhao |
2023-08-15 |
2,538 |
--
|
|
How to Use LLMs on Tabular Data with TabLLM
|
Timothy Wang and Justin Zhao |
2023-08-16 |
1,133 |
--
|
|
LLMs in Production: Key Insights from Our New Report
|
Michael Ortega |
2023-08-23 |
1,144 |
--
|
|
10 Things You Need To Know About LLMs
|
Arnav Garg and Daliana Liu |
2023-09-28 |
1,795 |
--
|
|
Fine-Tune Mistral 7B on a Single GPU with Ludwig
|
Alex Sherstinsky and Arnav Garg |
2023-10-06 |
6,332 |
--
|
|
Serve 100+ Fine-Tuned LLMs with LoRA Exchange on One GPU
|
Travis Addair and Geoffrey Angus |
2023-10-18 |
2,531 |
--
|
|
Fine-Tune and Serve Open-Source AI—Faster and Cheaper
|
Abhay Malik |
2023-10-24 |
1,346 |
--
|
|
Fine-Tune LLaMA-2 for Code Generation on a Budge
|
Timothy Wang and Devvret Rishi |
2023-11-09 |
1,419 |
--
|
|
Announcing the Ludwig 10k Giveaway Competition
|
Alex Sherstinsky |
2023-11-13 |
618 |
--
|
|
Koble’s Case Study: AI-Driven Startup Investing
|
Connor McCormick and Will Van Eaton |
2023-11-14 |
1,141 |
--
|
|
LoRAX: Open Source LoRA Serving Framework for LLMs
|
Travis Addair, Geoffrey Angus, Magdy Saleh and Wael Abid |
2023-11-16 |
1,781 |
--
|
|
Fine-Tune CodeLlama-7B to Generate Python Docstrings
|
Connor McCormick and Arnav Garg |
2023-12-06 |
1,483 |
--
|
|
How to Fine-Tune LLaMA-70B for JSON Generation
|
Geoffrey Angus, Wael Abid and Timothy Wang |
2023-12-07 |
1,400 |
--
|
|
The Future of AI is Specialized
|
Devvret Rishi and Piero Molino |
2023-12-15 |
1,691 |
--
|
|
How to Fine-tune Mixtral 8x7b with Open-source Ludwig
|
Timothy Wang |
2023-12-19 |
1,127 |
--
|
|
How to Fine-Tune Zephyr-7B for Support Call Analysis
|
Alex Sherstinsky and Magdy Saleh |
2024-01-08 |
2,719 |
--
|
|
12 Best Practices for Distilling Small LMs from GPT
|
Justin Zhao and Wael Abid |
2024-01-16 |
5,092 |
--
|
|
2023 December Newsletter
|
Predibase Team |
2024-01-17 |
1,033 |
--
|
|
Personalizing Trading with Deep Learning on Snowflake
|
Joppe Geluykens and Michael Ortega |
2024-01-20 |
1,395 |
--
|
|
Fine-Tuned: January 2024
|
Predibase Team |
2024-01-28 |
897 |
--
|
|
AI and LLM Predictions for 2024
|
Michael Ortega |
2024-01-29 |
2,178 |
--
|
|
Ludwig 10k Stars LLM Fine-tuning Hackathon Winners
|
Alex Sherstinsky and Michael Ortega |
2024-02-01 |
1,297 |
--
|
|
How to Efficiently Fine-Tune CodeLlama-70B Instruct
|
Alex Sherstinsky |
2024-02-08 |
2,247 |
--
|
|
The First Serverless Solution for Fine-Tuned LLMs
|
Abhay Malik |
2024-02-13 |
830 |
--
|
|
Product Updates - February 2024
|
Will Van Eaton and Abhay Malik |
2024-02-13 |
338 |
--
|
|
LoRA Land: Open-Source LLMs That Beat GPT-4
|
Timothy Wang, Justin Zhao and Will Van Eaton |
2024-02-20 |
1,821 |
--
|
|
7 Things to Know About Fine-Tuning LLMs
|
Geoffrey Angus |
2024-02-22 |
3,475 |
--
|
|
How to Efficiently Fine-Tune Gemma-7B with Open-Source Ludwig
|
Alex Sherstinsky |
2024-02-23 |
787 |
--
|
|
LoRAX + Outlines: Better JSON Extraction with LoRA
|
Jeffrey Tang and Travis Addair |
2024-03-03 |
2,285 |
--
|
|
Fine-Tuned: February-March 2024
|
Predibase Team |
2024-03-04 |
939 |
--
|
