LLMs
Unlike consumers, enterprises want control over how their data is used and shared with companies, including the providers of AI software. Enterprises have spent a lot effort in consolidating data from different sources and bringing them in-house (this article Partner integrations + System of Intelligence: Today’s deepest Moat by fellow Medium... See more
AI Startup Trends: Insights from Y Combinator’s Latest Batch
I’ve been giving talks and speaking with engineers and non-technical audiences about interpretability since 2022, and I still struggle to explain exactly what a “feature” is. I often use words like “concept” or “style”, or establish metaphors to debugging programs or making fMRI scans of brains. Both metaphors help people outside of the subfield... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
For the deployment side of things, we found that the performance of our training process was quite slow, especially when it gets into these large language models and when you train from scratch. MosaicML offers what's called programmatic optimization, which is not so much on the hardware side of things, but rather on the algorithmic side. Can you... See more
CB Insights • 2024 Tech Trends
Source: CB Insights Report
no reason to build any kind of software product these days that doesn't have a significant UX/domain knowledge component
Discord - A New Way to Chat with Friends & Communities
Menlo Ventures released a report on ‘The State of Generative AI in the Enterprise’ and found that adoption is trailing the hype. Details below:
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Here's my read on the situation:
* The TAM is massive, still so many businesses trying to figure out AI
* If you do deployments you’ll need to spend a of time hand holding clients through scoping projects (not unlike other dev works) since the material is so new
* Lot’s of opportunity in education
* The hard part isn’t the expertise, it’s distribution... See more
* The TAM is massive, still so many businesses trying to figure out AI
* If you do deployments you’ll need to spend a of time hand holding clients through scoping projects (not unlike other dev works) since the material is so new
* Lot’s of opportunity in education
* The hard part isn’t the expertise, it’s distribution... See more
Greg Kamradt • Tweet
The context size of the input is too small for when you want to analyse CSV's with 1000's of rows and embedding doesn't really work because it loses context.
r/LLMDevs - Reddit
Mem0: The Memory Layer for Personalized AI
Mem0 provides a smart, self-improving memory layer for Large Language Models, enabling personalized AI experiences across applications.
Mem0 provides a smart, self-improving memory layer for Large Language Models, enabling personalized AI experiences across applications.
Note: The Mem0 repository now also includes the Embedchain project. We continue to maintain and support Embedchain ❤️. You can find the Embedchain codebase in the embedchai... See more
GitHub - mem0ai/mem0: The memory layer for Personalized AI
To do this, we employ a technique known as AI-assisted evaluation, alongside traditional metrics for measuring performance. This helps us pick the prompts that lead to better quality outputs, making the end product more appealing to users. AI-assisted evaluation uses best-in-class LLMs (like GPT-4) to automatically critique how well the AI's... See more