Nov. 2022 |
Intro to Declarative Machine Learning Systems: The Future of Low-code ML |
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Dec. 2022 |
Santavision: Building a holiday-themed image classifier in less than 15 lines of code |
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Feb. 2023 |
Hands-on with Multi-Modal Machine Learning and Predicting Customer Reviews |
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Mar. 2023 |
AutoML for Deep Learning with Ludwig |
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Mar. 2023 |
Machine Learning Tutorial: Audio Classification |
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Mar. 2023 |
Machine Learning Tutorial: Customer Sentiment |
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Mar. 2023 |
Machine Learning Tutorial: Topic Classification |
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Mar. 2023 |
AutoML 2.0: Control what you want, automate the rest |
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Mar. 2023 |
ML Real Talk: Take Your Computer Vision Models to the Next Level |
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Apr. 2023 |
Privately Host and Customize Large Language Models for Your ML Tasks |
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May. 2023 |
Build Your Own LLM in Less Than 10 Lines of YAML |
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May. 2023 |
ML Real Talk Episode 2: MLOps Best Practices in the LLM era |
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Jun. 2023 |
Machine Learning Tutorial: Named Entity Recognition |
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Jun. 2023 |
Go From Engineer to ML Engineer with Declarative Machine Learning |
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Jun. 2023 |
Machine Learning Tutorial: Fraud Detection |
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Jul. 2023 |
ML Real Talk: 10 Things You Must Know About LLMs |
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Aug. 2023 |
Efficiently Build Custom LLMs on Your Data with Open-source Ludwig |
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Sep. 2023 |
Panel Discussion w/ LlamaIndex: Building Custom LLMs in Production |
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Oct. 2023 |
ML Real Talk: Building Responsible Generative AI Applications |
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Oct. 2023 |
How–and when–to fine-tune and serve LLMs |
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Oct. 2023 |
Predibase Product Overview: The Developer Platform for Open-source AI |
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Nov. 2023 |
Serve 100s of Fine-tuned LLMs for the Cost of Serving One with LoRAX |
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Nov. 2023 |
7 Things You Need to Know About Fine-Tuning LLMs |
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Dec. 2023 |
12 Best Practices for Distilling Smaller LLMs with GPT |
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Feb. 2024 |
Fine-Tuning Zephyr-7B to Analyze Customer Support Call Logs |
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Feb. 2024 |
5 Reasons Why Adapters are the Future of Fine-tuning LLMs |
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Feb. 2024 |
Predibase Platform Demo: Efficient Fine-tuning and Serving |
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Mar. 2024 |
LoRA Land: How We Trained 25 Fine-Tuned Mistral-7b Models that Outperform GPT-4 |
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Mar. 2024 |
Ludwig Hackathon Winner: Assessing Health Data with ML |
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Mar. 2024 |
Ludwig Hackathon Winner: Building a Tax FAQ Chatbot with LLMs |
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Mar. 2024 |
LoRA Bake-off: Comparing Fine-Tuned Open-source LLMs that Rival GPT-4 |
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Mar. 2024 |
LLM Tutorial: Generate Docstring with Fine-tuned CodeLlama-13b |
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May. 2024 |
Virtual Workshop: Fine-tune Your Own LLMs that Rival GPT-4 |
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May. 2024 |
How I became a Ludwig Contributor |
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May. 2024 |
Dickens: an LLM that Writes Great Expectations |
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May. 2024 |
How we accelerated LLM fine-tuning by 15x in 15 days |
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May. 2024 |
How to 2x LLM Inference Speeds with Speculative Decoding Fine-tuning |
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