all AI news
NVIDIA NIM RAG Optimization: QuietSTAR (Stanford)
March 22, 2024, 1 p.m. | code_your_own_AI
code_your_own_AI www.youtube.com
NVIDIA Enterprise AI, NVIDIA NeMO and NVIDIA NIM (Inference Microservices) to create, fine-tune and RLHF align your LLMs within an optimized NVIDIA ecosystem, the perfect way to operate your AI code and all accelerations on your GPU Blackwell node?
How to stop LLM and RAG hallucinations, answered …
advanced advanced ai advice ai systems blackwell ceo enterprise enterprise ai hallucinations inference llm llms microservices nemo nim nvidia nvidia enterprise ai nvidia nemo nvidia nim optimization rag reduce rlhf stanford systems technology
More from www.youtube.com / code_your_own_AI
480B LLM as 128x4B MoE? WHY?
1 day, 2 hours ago |
www.youtube.com
No more Fine-Tuning: Unsupervised ICL+
2 days, 14 hours ago |
www.youtube.com
NEW Phi-3 mini 3.8B LLM for Your PHONE: 1st TEST
3 days, 4 hours ago |
www.youtube.com
BEST LLMs for Coding, Long Context, Overall Perform
4 days, 2 hours ago |
www.youtube.com
Gemini 1.5 PRO vs Lllama3-70B-Instruct: TEST
6 days, 6 hours ago |
www.youtube.com
Mighty New TransformerFAM (Feedback Attention Mem)
1 week, 2 days ago |
www.youtube.com
INFINI Attention explained: 1 Mio Context Length
1 week, 3 days ago |
www.youtube.com
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Applied Scientist
@ Microsoft | Redmond, Washington, United States
Data Analyst / Action Officer
@ OASYS, INC. | OASYS, INC., Pratt Avenue Northwest, Huntsville, AL, United States