Exciting News: we shipped a brand new #release last week that’s packed with awesome features and improvements: All training jobs run on #A100's by default Mistral-7b-instruct-v0.2 now live for inference + #finetuning New #deployments UI And more:
LLMS
-
NVIDIA Technologies Enable LLMs and Generative AI Production Deployment
By
–
Join NVIDIA Sr. Product Marketing Manager Charlie Huang at Google Next on April 9th. Learn about the latest NVIDIA technologies available on @googlecloud to enable enterprises to take their #LLMs and #generativeAI apps from pilot into production. https://
nvda.ws/4aiA5LR -
Repetition Jailbreak: Context Window Vulnerability in Large Language Models
By
–
New jailbreaking technique: pure repetition. AIs are getting big context windows, it turns out if you fill a lot of it with examples of bad behavior, the AI becomes much more willing to breach its own guardrails. Security people are used to rules-based systems. This is weirder.
-
LangSmith Production Logging and Automations for LLM Apps
By
–
Optimize Your LLM App with LangSmith’s Advanced Monitoring & Automations We’re excited to release a new set of features around production logging and automations in LangSmith. Blog: https://
blog.langchain.dev/langsmith-prod
uction-logging-automations/
… YouTube Series: https://
youtube.com/playlist?list=
PLfaIDFEXuae0bYV1_60f0aiM0qI7e1zSf
… We show you how to -
LLMs Risk: Hallucinations and False Source Attribution
By
–
I think that's OK: it's an analogy. Bears could kill you. LLMs could embarrass you by causing you to cite a non-existent source.
-
LLMs Compared to Trained Circus Bear Making Porridge
By
–
My new favourite analogy for LLMs: "LLMs are like a trained circus bear that can make you porridge in your kitchen" From @komorama in his Bits and Bobs weekly Google Doc: https://
docs.google.com/document/d/1pt
HfoKWn0xbNSJgdkH8_3z4PHLC_f36MutFTTRf14I0/edit
… -
LLM Hallucinations in Medical Assessments: A Critical Concern
By
–
In a recent study, 4 out of 5 LLMs hallucinated a significant proportion of sources for their answers to medical questions. Should we be using them for medical assessments?
-
Building Powerful RAG Systems with Large Language Models
By
–
🚀 Blog-tastic Tuesdays 🚀https://t.co/qhmO6lROB2
— Satya Mallick (@LearnOpenCV) 2 avril 2024
Our latest blog explores the exciting realm of RAG systems.
By the end of this article, you’ll be equipped to build a powerful and dynamic LLM solution that leverages the strengths of both pre-trained models and up-to-date… pic.twitter.com/Zs6J4ZIazLBlog-tastic Tuesdays https://
learnopencv.com/rag-with-llms/ Our latest blog explores the exciting realm of RAG systems.
By the end of this article, you’ll be equipped to build a powerful and dynamic LLM solution that leverages the strengths of both pre-trained models and up-to-date -
Asking Opus to Double-Check Its Own Answers
By
–
have you tried simply asking opus to doublecheck its own answers
-
Sam Altman: GPT-5 Ready but Too Risky to Release
By
–
“GPT-5 is ready, but it’s too risky to release”, says Sam Altman. “In the meantime, let’s dive into the treasure trove of bustling artificial intelligence landscape.”