Master GPU-accelerated #deeplearning, computing, and data science and earn certificates for competency. Students, researchers, and faculty: sign up for our Deep Learning Institute's free virtual workshops led by NVIDIA-certified university ambassadors. https://
nvda.ws/3QroMZi
CODE
-

NVIDIA Deep Learning Institute Free Virtual Workshops for GPU Computing
By
–
-
OpenAI Adds Pricing Context Information for Assistant API
By
–
We are adding some info to the pricing page to help contextualize the Assistant API pricing better, hang tight and thanks for flagging Simon : )
-

Jerry Liu Shares RAG App Production Optimization Tips
By
–
@jerryjliu0
, co-founder/CEO of @llama_index , is sharing real-time insights on building, evaluating, and optimizing your RAG App for production. Tune in now for practical tips! #RAGApp #H2OGenAIWorld #AI #GenAI -
Python Library Updates: Auto-Retry, Types, Client Instantiation
By
–
A few of the big additions: – Auto-retry with backoff if there's an error
– Proper types (for mypy/pyright/editors)
– You can now instantiate a client, instead of using a global default.
– Switch to explicit client instantiation
– Weights and Biases CLI will now be included in -
OpenAI Python SDK V1.0 Launch with Stainless API
By
–
Another big step for @OpenAI developers that happened yesterday, we shipped V1.0 (and V1.1 shortly after) of the Python SDK with the help of the amazing team at @StainlessAPI
! Check it out: -
LLMs Develop Apps Through Agent-Based Models and Strategy
By
–
LLMs can develop code-based apps, manage complex tasks, and construct business models with proper strategy. MetaGPT and Baby AGI models use distinct agents, guided by human SOPs for precision for the former.
-
LLMs Support Writing Coding and Skill Acquisition Tasks
By
–
Whether it's a business strategy AI or one based on Plato's works, LLMs provide invaluable support in tasks like writing, coding and skill acquisition.
-
AI Tutor Built with RAG and GPT-4 Technology
By
–
We created an AI tutor from existing documents using Retrieval Augmented Generation (RAG) and GPT-4. This method ensures answers stay within our dataset, enhancing accuracy.
-

30 lines of code for complete website addition
By
–
/23 Just 30 lines of code… for an entire website to be added.
-

Mastering Open Source h2oGPT with RAG and Agents
By
–
Technical speaker session underway! Jon McKinney (
@pseudotensor
) and @ArnoCandel delve deep into Mastering Open Source #h2oGPT with Retrieval Augmented Generation (#RAG), web search, and agents. #H2OGenAIWorld