| 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 |
bS3eqrd5r3k |
| 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 |
IeLxmeHdHWg |
| Mar. 2024 |
Ludwig Hackathon Winner: Assessing Health Data with ML |
uHwhym7atzI |
| Mar. 2024 |
Ludwig Hackathon Winner: Building a Tax FAQ Chatbot with LLMs |
TnmDd5eS9y4 |
| Mar. 2024 |
LoRA Bake-off: Comparing Fine-Tuned Open-source LLMs that Rival GPT-4 |
kFdfDJ1fQxY |
| Mar. 2024 |
LLM Fine-tuning 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 |
cBOFrMFB_YY |
| May. 2024 |
Dickens: an LLM that Writes Great Expectations |
Z_2IP9L5nuc |
| May. 2024 |
How we accelerated LLM fine-tuning by 15x in 15 days |
wWkitIm8AnA |
| May. 2024 |
How to 2x LLM Inference Speeds with Speculative Decoding Fine-tuning |
-rJsh_qqRSA |
| Jun. 2024 |
Speed Up LLM Development with Synthetic Data and Fine-tuning |
SB71Z3b3TZo |
| Jun. 2024 |
Snowflake + Predibase: Smaller, faster & cheaper LLMs that beat GPT-4 |
szmOLwZdWuQ |
| Jun. 2024 |
Ludwig Community Sync: 06/14/2024 |
ZdUzD0rkl0M |
| Jul. 2024 |
Introducing Solar LLM: The Best LLM for Fine-tuning that beats GPT-4, exclusively on Predibase |
4lcRQ28VBxw |
| Jul. 2024 |
Predibase Platform Overview: Small Language Models for Specialized AI |
1k9MDUXocE4 |
| Jul. 2024 |
How to Reduce Your OpenAI Spend by up to 90% with Small Language Models |
4BRhTlezmg8 |
| Aug. 2024 |
Beat GPT-4 with a Small Model and 10 Rows of Data |
hBxGtMD0YH4 |
| Aug. 2024 |
Building Better Models Faster with Synthetic Data |
EAVZ_T9C6rg |
| Aug. 2024 |
Fine-Tuning SLMs for Enterprise-Grade Evaluation & Observability |
E4SWbTAaIog |
| Aug. 2024 |
Streamlining Background Checks with Fine-tuned Small Language Models on Predibase |
IPDqbfZT1qg |
| Aug. 2024 |
Next Gen Inference for Fine-tuned LLMs - Blazing Fast & Cost-Effective |
lwMk4gNDCrA |
| Aug. 2024 |
Welcome Address and Agenda Overview |
GFciX3GGDIc |
| Aug. 2024 |
Small is the New Big: Why Apple and Other AI Leaders are Betting Big on Small Language Models |
KwcwlMhtFPk |
| Aug. 2024 |
Demo: Synthetic Data Generation |
tgLf0MT8Mn0 |
| Sep. 2024 |
Your Models, Your Cloud: Secure Private LLMs in Your VPC in less than 30 mins |
XFCgA0qGCWk |
| Oct. 2024 |
How Clearwater Analytics Builds AI Agents with Small Language Models (SLMs) |
Z-k8Wm2uQmw |
| Oct. 2024 |
How to Fine-tune a SLM for Content Summarization w/ Llama-3.1-8B |
3S31lUWguY4 |
| Oct. 2024 |
Optimize Inference for Fine-tuned SLMs |
oWxt3UYHSUU |
| Nov. 2024 |
How Convirza Analyzes Millions of Calls Monthly with SLMs |
SKaR4bPhEbk |