Prakul Agarwal @iprakul

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.

Amazing talks at @mastra conference! @JavaSquip @iprakul @holtbt

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: luma.com/hyml00gk?coupo… cc: @GradientVC @mastra

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

Denise Teng @denise_teng25

11 months ago

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: luma.com/hyml00gk?coupo… cc: @GradientVC @mastra

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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.

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.

@carlvellotti Cc

@jspujji GA

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: fireworks.ai/blog/fireworks…

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

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

Sasha Sheng (Hiring) 🫶🏼 @hackgoofer

2 years ago

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.

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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.

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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! loom.ly/Ao2syXo #RAG #LLMeval #LLMtesting #LLMops #LLMmonitoring #RAGapps

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 👇 mongodb.social/6012Zpz4u

Excited for the joint launch!

LangChain @LangChain

3 years ago

🍃 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

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Excited for the new new Launch!

MongoDB @MongoDB

3 years ago

🚀 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. 🧵

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🚀 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. 🧵

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. ✅ together.ai/blog/embedding… Details👇

🦜🚀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: templates.langchain.com 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: templates.langchain.com

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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.

Prakash @8teAPi

3 years ago

What happened at OpenAI? > Nov 2 -> Sam was in the room, when the team demonstrated the next big improvement. 3 times before in OpenAIs history, most recently with GPT-4, they’d pushed back the veil of ignorance and pushed forward the frontier of discovery. As he watched the

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