Join our upcoming X Space with @JUNGLEDOGEonSol, the hottest new #memecoin on Solana.
🎁 $1,000 in $JUNGLE (20 winners)
🔹Follow @bitgetglobal @JUNGLEDOGEonSol
🔹RT & tag your pals
🔹Set a reminder & join: https://t.co/W8ll4TDLJg
🔹Fill out: https://t.co/h1OWmbVtf1
Stretching to start your day is an excellent way to warm up your muscles and loosen up stiff joints. Not only does this increase your range of motion, allowing you to perform everyday activities, but it also helps to improve your flexibility over time.
https://t.co/B17KJnEyyE
I am super excited to finally announce that we (@towards_AI) released our first book: Building LLMs for Production.
Put a dozen experts (graduates and industry) and 1.5 years of work, and that's what you get...
"...the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications [...] - all essential topics in an AI Engineer's toolkit." - @jerryjliu0, CEO of @llama_index.
One of the reasons I quit my PhD in AI was to build practical solutions that will help others in the real world and improve what exists. While I love the world of academia, when I first stepped into the startup world, it felt like I pretty much knew nothing all over again. I needed to understand the problems in the real-world application of AI and build solutions for it. Not just research but real models, real products, and real people using them. But here's the thing: grasping these challenges is merely the first step. For the ‘how’ part of it, you need to get into the code, the architecture, the models, the APIs, the deployments, the trials and errors, and the complex and wide varieties of frameworks - you don't have time to reinvent the wheel in a startup! So we've gathered everything we worked on and with in this 470-page book all about LLMs and how to work with them. Right now, this means working with @llama_index , @langchain , @activeloop and other of such amazing tools, but we believe the book still teaches concepts that will stay relevant for a long time even as LLMs get better, such as reducing hallucinations, teaching how to work and use them, some cool theory and tips and more.
The only skill required for the book is some Python (or programming) knowledge.
I'd love to hear what you think of the book: https://t.co/sIBdJklORd
I also want to thank some of our amazing team at Towards AI that helped achieve this, including @AlaFalaki , @omar_solano1, Pratik Shukla, @fabiochiusano , Rucha Bhide, @_LouiePeters , Denis Piffaretti, Vamsikrishna (Vamsi) Chemudupati, Mizanur Rahman and others...
A big thanks to some of our reviewers and my friends for the support, @KenJee_DS , @nonmayorpete , Greg Coquillo, Shashank Kalanithi, @SerranoAcademy , @jerpint , Rafid Al-Humaimidi, Sander Schulhoff, @Coffee_and_NLP , Shaw Talebi, @ahmed_moubtahij, @AICoffeeBreak , @hellotinah , Jack Blandin, Davide Coccomini...
Lastly, thank you, @NickSinghTech , for all the tips and help with the book process and everything related to it.
"Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG" is now available on Amazon: https://t.co/sIBdJklORd
We are also on Goodreads with the same name. If you want to support us for free, give a review there. :)
Step into the Future with a Groundbreaking Network: $U2DPN with #U2U Subnet Tech Is Waiting for You!
Join now: _ Android: https://t.co/zgTdOlgI8p
Join now:_ IOS: https://t.co/vGktldCCL6
Code: 👉sandersep1👈
@u2_dpn#U2DPN#DePIN#U2UNETWORK#VPN