Do you know what company documents your #RAG application ingested into Vector DB? Did it pick up any confidential or undesirable data that could end up in a prompt response? Here is a blog that describes how existing LangChain applications can leverage Pebblo to safely ingest

Golden words ... !

In addition to Llama 3, we also released new Meta Llama trust & safety tools featuring Llama Guard 2, Code Shield and Cybersec Eval 2 — plus an updated Responsible Use Guide & Getting Started Guide, new recipes and more. You can find more of these updates on the Llama website ➡️

Back to data scarcity ... cracking the next tranche of high-quality data behind walled gardens and silos without major legal and regulatory hurdles will unlock lots of value in this space.

Today is a good day for open science. As part of our continued commitment to the growth and development of an open ecosystem, today at Meta FAIR we’re announcing four new publicly available AI models and additional research artifacts to inspire innovation in the community and

This is where we are heading. Some portion of our computing needs can switch to use such Cognitive Processing Systems. We need some initial killer use cases to light up this transition. I still believe Apple with its ability to hear (microphone), see (camera) and show (display)

A significant milestone in OpenSource with a frontier AI Model. It might well be the watershed moment à la Unix ruling the OS landscape. It will take few iterations and some significant GPU $$$ by downstream efforts to produce a "Linux" like community maintained frontier model.

I'll get straight to the point. We trained 2 new models. Like BERT, but modern. ModernBERT. Not some hypey GenAI thing, but a proper workhorse model, for retrieval, classification, etc. Real practical stuff. It's much faster, more accurate, longer context, and more useful. 🧵

Amazing benchmark numbers! Token economics would dictate o3-mini as the model to build products around.

Unpacking the economics of DeepSeek and comparing it with US AI models, say, Claude Sonnet 3.5's build cost. Perhaps it is comparable in cost *but* the kicker ... DeepSeek is opensource with an MIT license. Even Llama license comes with strings attached #DeepSeekR1

Agentic memory that survives and accessible across multiple MCP enabled apps is powerful. Need to check if any scope or auth check available to guard the gates - for privacy and security guardrails.

An iPhone moment might be on the horizon for AI with this announcement of OpenAI and Lovefrom/IO coming together with legendary Jony Ive and Sam Altman ... while the forgettable Humane AI pin came & went, waiting to see what unfolds from this legendary combo openai.com/sam-and-jony/

Microsoft continues to embrace open standards - Empowering multi-agent apps with the Agent2Agent (A2A) protocol proposed by Google #AIAgent #MCP #A2A #Microsoft microsoft.com/en-us/microsof…

The convergence is elegant! #Platoism

For Enterprises, this is the next 5 years worth of feature requirements in one tweet. That's an optimistic estimate :) Both people and enterprise business processes need to co-evolve for this generational change in how human <-> software interacts.

As we hit limits of existing LLMs and LRMs, new model architectures will emerge! Remains to be seen who will be winners & losers of the next AI wave

Transition to AI-enabled business will come down to this ... economics, ROI, and human retooling.

Absolutely! One further nuance, could be “prompt engineering” is for humans whereas “context engineering” is for AI agents & apps.