Remove its-time-to-try-rag-and-heres-why
article thumbnail

Data News — Week 24.12

Christophe Blefari

Friday routine ( credits ) It's Friday and it's Data News. At first, I'm: oh s**t, here we go again and 10 minutes later I'm lost in reading the content and picking too many articles to fit into a thousand word edition. But I could do it better I think. Usually all the process takes me a whole Friday.

article thumbnail

Data News — Week 24.14

Christophe Blefari

But here we are. On my side I'll talk about Apache Superset and what you can do to build a complete application with it. I guess there is a video associated with the slides, but I don't have it. It shows a few RAGs, Agents and parsers on documents to retrieve the data you need.

SQL 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data News — Recommendations

Christophe Blefari

That's great because it helps me innovate and pushes me to new horizons every time, but it takes time to assimilate chunks of work in order to produce creative keynotes. Thanks to the time I spend reading content, forging ideas and chatting with all of you, I get inspired and my crazy brain invents things.

Data 130
article thumbnail

LLMOps 101: A Detailed Insight into Large Language Model Operations

RandomTrees

It refers to the practices and tools used to develop, deploy, and maintain large language models in production environments. It is MLOps but for large language models (like GPT-3). Components of LLMOps Data Collection and Preparation Model Development Prompt Engineering, RAG and Model Fine-tuning Model Deployment Observability RLHF 1.

article thumbnail

15 Projects on Machine Learning Applications in Finance

ProjectPro

This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. It also covers some innovative use cases to highlight the significance of machine learning in finance.

Finance 52