Last week was again filled with A LOT of AI news, but there's still tension between how companies & consumers think about GenAI. @Gartner_inc says 53% of consumers think GenAI will “strongly or somewhat negatively impact society," but more seem comfortable w/ GenAI in marketing.
AI
-
Flash Attention: Optimizing Hardware Memory Use and I/O
By
–
Oh yeah, these methods are orthogonal. Flash attention is essentially optimizing hardware memory use and I/O
-
Shifting Focus From Services to Tech Innovation
By
–
People who know me know I hate running businesses where I have to hire lots of manpower. I love…tech, not services. So what gives? What’s cooking? You’ll find out soon enough.
-
LangChain LLMChain Components: Core Modular Architecture
By
–
Something I was working on at the @agihouse_org hackathon over the weekend The LLMChain (prompt template + llm + output parser) is a core, modular component and is where most customization happens. Understanding this is crucial for understanding LangChain!
-
MIT Algorithm Protects Sensitive Data in Machine Learning Models
By
–
Sensitive data encoded within ML models can be extracted by malicious agents. MIT algorithm enables users to potentially add the smallest amount of noise possible to ensure that this data is protected: https://
bit.ly/3NKm3ss -
Flash Attention 2 Integration Reduces Lit-GPT Runtime by 11%
By
–
My colleagues already added Flash Attention 2 to our Lit-GPT repo!
So if you are working on the NeurIPS LLM Efficiency Challenge (for which Lit-GPT is the official starter kit, https://
llm-efficiency-challenge.github.io), you can shave ~11% off your total runtime -
Twitter’s transformation sparks uncertainty among users online
By
–
"What is happening?!" feels like a fair way to describe today's sentiment. Not sure I'll ever get used to "" in Twitter's nest as its beloved blue bird goes the way of the dodo…
-
Chainlit: Python Framework for Rapid LLM Application Development
By
–
GitHub – Chainlit/chainlit: Build Python LLM apps in minutes
https://bit.ly/42QIzFn #AI #MachineLearning #DeepLearning #LLMs #DataScience -
GPT-4 Intelligence Phase Transition and Emergence Phenomenon
By
–
The human brain is far to good for the purpose it has evolved. Intelligence might therefore suddenly emerge through some kind of phase transition at some level of complexity. Might something similar have happened to GPT-4? I find it too intelligent for how it is trained.
-
Flynn warns AI capabilities are both impressive and dangerous
By
–
Flynn adds, on GAI: "This type of digital push button is simultaneously impressive and scary."