Richmond Alake (@richmondalake) 's Twitter Profile
Richmond Alake

@richmondalake

Computer Vision Engineer | Machine Learning Content Creator
Medium: richmondalake.medium.com
Newsletter: bit.ly/3Eg45aq

ID: 1360589207236919303

calendar_today13-02-2021 13:58:50

182 Tweet

338 Followers

90 Following

Richmond Alake (@richmondalake) 's Twitter Profile Photo

July is almost over. But Google DeepMind 's making it memorable. They've released Gemma-2 2B, ShieldGemma, and Gemma Scope. These new Gemma variants are small yet powerful. They run on limited compute resources. Impressive AI in compact form. In AI, size doesn't matter.

DeepLearning.AI (@deeplearningai) 's Twitter Profile Photo

Ready to go beyond RAG applications? Explore more advanced AI domains with MongoDB's upcoming webinar: Expanding LLM Applications: From RAG to Agentic Systems! Join MongoDB Developer Advocate Richmond Alake on August 15, 2024, at 9 AM PT. Register here: hubs.la/Q02JQ2n-0

DeepLearning.AI (@deeplearningai) 's Twitter Profile Photo

Have you checked out our course made in collaboration with MongoDB, Prompt Compression and Query Optimization? Read Richmond Alake's article to learn more about the methods covered, which address different challenges in large-scale RAG applications: hubs.la/Q02KR7J00

Richmond Alake (@richmondalake) 's Twitter Profile Photo

If you have been thinking about Agentic systems If you have been thinking about AI Agents If you have been thinking about RAG Then join me and over 1000 folks in absolutely NOT THINKING about the next form factor of LLM Applications, Agentic Systems. But actually, building one.

LlamaIndex 🦙 (@llama_index) 's Twitter Profile Photo

Agentic RAG with Claude 3.5 Sonnet, MongoDB, and LlamaIndex 🦙 🤖 This tutorial by Richmond Alake is a fantastic beginner’s walkthrough on building an agentic knowledge assistant over a pre-existing RAG pipeline. Take advantage of tool selection, task decomposition, and

Agentic RAG with Claude 3.5 Sonnet, <a href="/MongoDB/">MongoDB</a>, and <a href="/llama_index/">LlamaIndex 🦙</a> 🤖

This tutorial by <a href="/richmondalake/">Richmond Alake</a> is a fantastic beginner’s walkthrough on building an agentic knowledge assistant over a pre-existing RAG pipeline.

Take advantage of tool selection, task decomposition, and
Richmond Alake (@richmondalake) 's Twitter Profile Photo

Yujian Tang: Hey, you know about Agents, right? Me: Yeah, Me: Agent Smith's redemption arc in The Matrix Resurrections was confusing. Yujian Tang: No, Richmond...AI Agents...do you know Agentic systems? Me: Ha, why didn't you say that? Yeah, I know a thing or two. Yujian

Richmond Alake (@richmondalake) 's Twitter Profile Photo

If you are a JavaScript Developer. If you are a Web Developer. If you are a Developer. If you are human. Then, watch Jesse Hall's video explaining how to build AI Agents using LangChain , LangGraphJS and MongoDB as the Memory Providers. youtube.com/watch?v=qXDrWK… #mongodb

Richmond Alake (@richmondalake) 's Twitter Profile Photo

Knock Knock🚪 Who's there 👀? 👊🏾 Impactful AI. Some of 2024 Buzzwords: ⊙ Vector Databases (For some reason, regular DBs needed a glow-up) ⊙ RAG (everyone's favorite sandwich... I mean, architecture 😉) ⊙ AI Agents (more active than my gym membership) ⊙ Nvidia (making GPUs

Richmond Alake (@richmondalake) 's Twitter Profile Photo

The recent shift from LLM-powered chatbots to what the field now defines as agentic systems or agentic AI can be summarized with a good old saying: “Less talk, more action.” The latest piece on AI Agents from the AI team at MongoDB mongodb.com/resources/basi… #AI

Santiago (@svpino) 's Twitter Profile Photo

I don't think specialized vector databases will survive for much longer. They were a big thing for a while, but now, you have pro-grade databases like MongoDB offering native support for vector search. If you don't understand how vector search is an absolutely bonkers,

SuperDataScience (@superdatasci) 's Twitter Profile Photo

Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) #AIapplications, with a look under the hood at its native vector database. Watch the episode here: bit.ly/sds871

Richmond Alake (@richmondalake) 's Twitter Profile Photo

🎯 Weekend confession: I've been vibe coding on Vibe Tourist after a 5-vlog Japan binge. Yes, "vibe coding" sounds as cringe as it is...but 4 hours in and I've created something...decent: Drop ANY YouTube travel link → Get full itineraries ✨ Or just pick your mood: 🏙️ "Get

🎯 Weekend confession: I've been vibe coding on Vibe Tourist after a 5-vlog Japan binge.

Yes, "vibe coding" sounds as cringe as it is...but 4 hours in and I've created something...decent:

Drop ANY YouTube travel link → Get full itineraries ✨

Or just pick your mood: 
🏙️ "Get