| Nov. 2022 |
Intro to Declarative Machine Learning Systems: The Future of Low-code ML |
Lhqwtk381Kw |
| Dec. 2022 |
Santavision: Building a holiday-themed image classifier in less than 15 lines of code |
F4bLz627KGA |
| Feb. 2023 |
Hands-on with Multi-Modal Machine Learning and Predicting Customer Reviews |
7J7aZnWUX80 |
| Mar. 2023 |
AutoML for Deep Learning with Ludwig |
_RjX8FSh2NA |
| Mar. 2023 |
Machine Learning Tutorial: Audio Classification |
qpRBHb6Zipg |
| Mar. 2023 |
Machine Learning Tutorial: Customer Sentiment |
9Btzs7az8mg |
| Mar. 2023 |
Machine Learning Tutorial: Topic Classification |
Yrhs9Sbeij0 |
| Mar. 2023 |
AutoML 2.0: Control what you want, automate the rest |
vKrYOPRhYn4 |
| Mar. 2023 |
ML Real Talk: Take Your Computer Vision Models to the Next Level |
s5w_7XoYR6k |
| Apr. 2023 |
Privately Host and Customize Large Language Models for Your ML Tasks |
wl0BrnSwCsg |
| May. 2023 |
Build Your Own LLM in Less Than 10 Lines of YAML |
efMQgwM9dFY |
| May. 2023 |
ML Real Talk Episode 2: MLOps Best Practices in the LLM era |
AlpcaHX0xQs |
| Jun. 2023 |
Machine Learning Tutorial: Named Entity Recognition |
aNAHWubtdG4 |
| Jun. 2023 |
Go From Engineer to ML Engineer with Declarative Machine Learning |
WGKbt8cn5S0 |
| Jun. 2023 |
Machine Learning Tutorial: Fraud Detection |
pNb0IPBi6To |
| Jul. 2023 |
ML Real Talk: 10 Things You Must Know About LLMs |
fezMHMk7u5o |
| Aug. 2023 |
Efficiently Build Custom LLMs on Your Data with Open-source Ludwig |
NAyKpcOdHLE |
| Sep. 2023 |
Panel Discussion w/ LlamaIndex: Building Custom LLMs in Production |
TT3wcBQXqOk |
| Oct. 2023 |
ML Real Talk: Building Responsible Generative AI Applications |
lK8JGDKOqok |
| Oct. 2023 |
How–and when–to fine-tune and serve LLMs |
3ZeSH_GszwI |
| Oct. 2023 |
Predibase Product Overview: The Developer Platform for Open-source AI |
to7WxAh_LL8 |
| 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 |
UzWxYP2USA0 |
| Dec. 2023 |
12 Best Practices for Distilling Smaller LLMs with GPT |
vELvSKZOREA |
| Feb. 2024 |
Fine-Tuning Zephyr-7B to Analyze Customer Support Call Logs |
cwT5JAqtTM4 |
| Feb. 2024 |
5 Reasons Why Adapters are the Future of Fine-tuning LLMs |
s2BF_gC0X1o |
| Feb. 2024 |
Predibase Platform Demo: Efficient Fine-tuning and Serving |
R2JQhzfaOFw |
| 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 |
uHwhym7atzI |
| 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 |
kFdfDJ1fQxY |
| Mar. 2024 |
LLM Tutorial: Generate Docstring with Fine-tuned CodeLlama-13b |
obxp_dZVLBA |
| May. 2024 |
Virtual Workshop: Fine-tune Your Own LLMs that Rival GPT-4 |
op6dmpzvYEY |
| 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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