Prakul Agarwal

AI Product Manager @ MongoDB | ex self-driving cars at @Zoox | ex-@salesforce

[Richard Hanania @RichardHanania]

India has sent 96 people to America who started billion dollar companies. No one else is even close.

There's only about 5 million Indians in America. Almost one in 50,000 of them is a unicorn founder!

What a holy, special, beautiful people.

I will always fight for them.

[JK @jungkeunhong]

Amazing talks at @mastra conference!

@JavaSquip
@iprakul
@holtbt

[Denise Teng @denise_teng25]

Excited to moderate the AX & Agent Tooling panel at the TypeScript AI Conference next week 🎙️

Featuring leaders from @Netlify , @MongoDB , & @databricks - we’ll discuss how agents move from prototypes → production.

RSVP: https://t.co/b06UUHbtWy

cc: @GradientVC @mastra

[Mastra @mastra]

and @denise_teng25 is moderating a panel between @JavaSquip (@Netlify) and @holtbt (@databricks) and @iprakul (@MongoDB) on AX & Agent Tooling

https://t.co/iJ5C81bnCZ

[Akshat Vig @akshatvig]

Game days are fire drills for a distributed system, it's operators, and processes. A thread capturing what I learned about effective game days in over a decade of building mission critical services at Amazon.

[Carl Vellotti 🥞 @carlvellotti]

Every PM should be using Claude Code.

So I built a HUGE course for you to learn Claude Code... IN Claude Code!
🔹 Complete guide
🔹 Make PRDs, analyze data, create decks

Soon, I'll sell it for $149.
For the next 24h: FREE!

Follow + RT + comment "CC" & I'll DM it.

[Prakul Agarwal @iprakul]

@carlvellotti Cc

[Prakul Agarwal @iprakul]

@jspujji GA

[Lin Qiao @lqiao]

Fireworks AI has raised $52M in Series B funding led by @sequoia !

This round propels our mission to enhance our inference platform and lead the shift to compound AI systems. Huge thanks to our investors @nvidia , @AMD , @MongoDB , @benchmark , Sheryl Sandberg , Frank Slootman, @databricks , @alexandr_wang , @howietl , Sajith Wickramasekara and @ClementDelangue from Angel, Series A, and Series B rounds.

Fireworks today offers ultra fast and cost efficient inference engine that tens of thousands of developers use to access the latest models to build creative products, new experiences, and productivity tools.

We will use the new funding to enhance our inference engine and expand our ecosystem to the best and newest hardware from Nvidia and AMD and deeper integration with databases from MongoDB and others. Our platform enhancements include the latest models, advanced customization options, and improved enterprise features. These advancements make it easier and faster for businesses to customize models and build AI applications without needing an army of ML engineers or scientists.

Also, we will accelerate the shift to compound AI systems. On top of our inference platform, we have built the system for decomposing a complex business task to multiple steps accessing multiple models across many modalities (text, audio, image and more), retrievers, and external tools. We will continue to expand these capabilities. This positions Fireworks AI as the go-to solution for developers and enterprises building new disruptive products and experiences faster.

Blog post with details: https://t.co/9Rx3vgj6YO

[CalCo @calco_io]

Today, every Nomic-Embed-Text embedding becomes multimodal. Introducing Nomic-Embed-Vision:

- a high quality, unified embedding space for image, text, and multimodal tasks
- outperforms both OpenAI CLIP and text-embedding-3-small
- open weights and code to enable indie hacking, research, and experimentation
- released in collaboration with @MongoDB, @llama_index, @langchain, @huggingface, @awscloud, @digitalocean, @LambdaAPI

[Prakul Agarwal @iprakul]

Had so much fun co-organizing and judging this event!

[Sasha Sheng (Hiring) 🫶🏼 @hackgoofer]

LLMs are stateless. But all apps need memory to do anything useful. Today top tier AI Engineers gathered at the @MongoDB office to hack memory onto the LLMs.

Thanks to organizers @langchain, @newcomputer, @AnthropicAI and @MongoDB to make this happen.

[Sasha Sheng (Hiring) 🫶🏼 @hackgoofer]

LLMs are stateless. But all apps need memory to do anything useful. Today top tier AI Engineers gathered at the @MongoDB office to hack memory onto the LLMs.

Thanks to organizers @langchain, @newcomputer, @AnthropicAI and @MongoDB to make this happen.

[TruEra @truera_ai]

Hands-on workshop webinar!

🌟RAG and Eval for LLM Success🌟
With @MongoDB and TruEra
Featuring: @datta_cs and @iprakul

Detailed best practices for creating & testing #LLMapps!

https://t.co/sfTBMYZj02

#RAG #LLMeval #LLMtesting #LLMops #LLMmonitoring #RAGapps

[MongoDB @MongoDB]

Search Nodes are in public preview for @googlecloud 🎉

Now you can have dedicated infrastructure to isolate and scale your #genAI and search workloads, reducing query times by a staggering 60 percent.

Get started today 👇
https://t.co/Mj282yPQ9U

[Prakul Agarwal @iprakul]

Excited for the joint launch!

[LangChain @LangChain]

🍃 MongoDB Atlas 🤝 LangChain 🦜

We have some exciting announcements in tandem with our friends at @MongoDB! We're launching:

📀 Support for semantic caching powered by Atlas Vector Search in Python
🧑‍🏫 Practical examples: advanced RAG, a fullstack JS app (s/o @togethercompute!), and more
📦 Dedicated Python and JS integration packages

See the official Mongo blog post for more: https://t.co/ZqYVixhSiR

And this video with @eyfriis showing off semantic caching: https://t.co/QJrVH4yInG

[Prakul Agarwal @iprakul]

Excited for the new new Launch!

[MongoDB @MongoDB]

🚀 Announcing two new features to help you build #GenAI apps with @langchain and MongoDB. Learn how to boost #LLM response speed using ‘MongoDB semantic cache’ powered by vector search and streamline development with a dedicated langchain-mongodb package for Python and JS. 🧵

[MongoDB @MongoDB]

🚀 Announcing two new features to help you build #GenAI apps with @langchain and MongoDB. Learn how to boost #LLM response speed using ‘MongoDB semantic cache’ powered by vector search and streamline development with a dedicated langchain-mongodb package for Python and JS. 🧵

[Together AI @togethercompute]

We are thrilled to announce the Together Embeddings endpoint! 🚀

Higher quality than OpenAI or Cohere in the MTEB benchmark. ✅
State of the art M2-Retrieval models with up to 32k context length. ✅
Up to 4x lower price. ✅

https://t.co/CKUYuv05PV

Details👇

[LangChain @LangChain]

🦜🚀LangChain Templates Hub

With 60+ templates contributed by the 👪community and our 🤝partners, LangChain templates are the easiest way to start building with LLMs

But with so many, it can often be disorienting to know where to start

Today were launching 🚀LangChain Templates Hub🚀, an easy way to explore and get started

Explore them here: https://t.co/3xJWx9REMq

Includes:

❤️A way to "like" templates, so you can give your stamp of approval

📏A way to sort by popularity, so you discover community favorites

💼Tags for different use cases

🤝Tags with different integrations

✒️Information about the author

Includes top templates from @MongoDB @Redisinc @neo4j @TimescaleDB @tavilyai @pinecone @trychroma @thefireworksai @Ollama_ai @weaviate_io @AnthropicAI @awscloud @supabase @DataStax @elastic @replicate @cohere

We've also included a button to request a template - let us know what you'd like to see!

Explore them here: https://t.co/3xJWx9REMq

[Prakash @8teAPi]

The Run Up

March - Gb Parascandolo, a Research Scientist on the OpenAI algorithms team dials off GPT4. His main research interest is reasoning in neural networks.

May - Gb briefs US senate staff working on AI regulation

July 6 - Noam Brown joins OpenAI. Noam built the first bot that beat Poker, and the bot that beat humans at Diplomacy, a verbal negotiation game. His stated focus is investigating reasoning, if successful will create “LLMs that are 1,000x better”.

Sept 27 - Sam make a joke on r/singularity “agi has been achieved internally” referring to a meme.

Oct 7 - Ilya’s last tweet is cryptic “if you value intelligence above all other human qualities, you’re going to have a bad time”

Oct 18 - Gb looking for one more engineer to “work on (ideally solve) reasoning”. Noam says he’s “very impressed by what they’ve done”

Oct 30 - Biden EO signed

Nov 2 (ish)- Sam is in the room where the team demonstrates the 4th big advance in the 8 years of OpenAI.

Nov 16 evening - Ilya messages Sam to meet at noon the next day. Mira has already been briefed she’ll take over as CEO… This indicates a secret board meeting has to have taken place prior to the messages going out. The 3 independent members of the board were persuaded by something that was shown to them by Ilya.

Nov 17 noon - Ilya informs Sam he’s being terminated. Messages and calls Greg and tells him he’s being demoted.

3 hours later Greg resigns.