Dmitry Bakaev @bakaevd

CTO, Product Manager, Builder @ AI-First Enterprise New York, USA Joined March 2009

Tweets

76
Followers

123
Following

264
Likes

90

Dmitry Bakaev @bakaevd

3 months ago

@dbabbs @tryprofound @lightspeedvp @sequoia @kleinerperkins @MattEvantic @Saga_Ventures @southpkcommons Agent

0 0 0 37 0

View Details

Parents and educators, I've been involved with Alpha School and 2 Hour Learning, revolutionizing education with AI and innovative student motivation strategies. The results are transformative. Join our event featuring MacKenzie Price, Co-Founder of Alpha School, and William Stixrud, Ph.D., and Ned Johnson, co-authors of the bestselling book, "The Self-Driven Child: The Science and Sense of Giving Kids More Control Over Their Lives." WHEN: September 18 WHERE: Venues across the U.S. (Live & Live Streamed) When young people feel connected to a real sense of purpose — and have caring adults in their corner — they don’t just get through the day… they own it! You’ll hear research, real-world stories, and practical strategies to help unlock your kid’s fire and passion without piling on stress or pressure. You’ll walk away with fresh insights to help your child grow into a capable, confident young adult. Learn more and REGISTER: events.thefutureofeducation.org/austin-event_t…

0 1 3 130 0

View Details

Dmitry Bakaev @bakaevd

10 months ago

Although ChatGPT 5 stole the show today, I still recommend checking out this new DeepLearning.ai course ... if you are not already using Claude Code.

Andrew Ng @AndrewYNg

10 months ago

I'm thrilled to announce the definitive course on Claude Code, created with @AnthropicAI and taught by Elie Schoppik @eschoppik. If you want to use highly agentic coding - where AI works autonomously for many minutes or longer, not just completing code snippets - this is it.

201 1K 9K 1.6M 13K

0 0 1 145 0

View Details

Dmitry Bakaev @bakaevd

10 months ago

@kevinlu625 We are building awesome AI apps for education at alpha.school. We've been using v0, Bolt and Cursor. Would love to try this.

0 0 1 7 0

View Details

Dmitry Bakaev @bakaevd

a year ago

Key takeaway from 2 days at #AgentConference: What a difference a year makes! AI agents have officially arrived. The tooling has matured significantly, and discussions have shifted from flashy demos to real production use cases that deliver value. agentconference.com

0 0 0 40 0

View Details

Dmitry Bakaev @bakaevd

a year ago

Today I went through this deeplearning.ai/short-courses/… course that exposes the capabilities of OpenAI's o1 model. The difference in just two years from the original 3.5 and 4 models is massive. I strongly recommend these short courses from Andrew Ng's deeplearning ai to anyone who wants to stay current on the latest AI tech but has a tight time budget.

0 0 1 62 0

View Details

Dmitry Bakaev @bakaevd

a year ago

@AndrewYNg amen

0 0 0 39 0

View Details

Dmitry Bakaev @bakaevd

a year ago

This has been my message to the engineering team over the past year. Being a coder is going to become less valuable. Being able to dive deep into the business problem and understand WHAT needs to be built and WHY will grow in value.

Andrew Ng @AndrewYNg

a year ago

Writing software, especially prototypes, is becoming cheaper. This will lead to increased demand for people who can decide what to build. AI Product Management has a bright future! Software is often written by teams that comprise Product Managers (PMs), who decide what to build

182 1K 5K 883K 5K

0 0 0 50 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

Was shown a sample AI generated podcast by a coworker today. Super impressive! Here is more on it:

Andrej Karpathy @karpathy

2 years ago

NotebookLM is quite powerful and worth playing with notebooklm.google It is a bit of a re-imagination of the UIUX of working with LLMs organized around a collection of sources you upload and then refer to with queries, seeing results alongside and with citations. But the

243 1K 8K 829K 6K

0 0 0 74 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

"The most common mistake of smart engineers is to optimize the thing that should not exist" youtube.com/watch?v=Kbk9Bi… 43:47 - 48:44

Lex Fridman @lexfridman

2 years ago

Here's my 8.5 hour conversation with @elonmusk & @neuralink team. It is the longest podcast I've ever done! 🤯 It's a fascinating, super technical, and wide-ranging conversation. It's here on X & everywhere else, including YouTube: youtube.com/watch?v=Kbk9Bi… On X, it's split up

2K 4K 25K 27.8M 10K

2 0 1 76 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

There is absolutely no reason to throw GenAI/Agents at a problem that can be deterministically solved via RPA.

0 0 0 35 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

Came across this read on O'Reilly that's largely reflective of our 1.5 yrs of working with LLMs: oreilly.com/radar/what-we-…

0 0 3 96 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

Anybody who's built RAG systems on corporate data will appreciate this. We've gone through our struggles over the past 2 years, with lots of lessons learned. Hopefully this will make your life simpler if you are just starting out.

Andrew Ng @AndrewYNg

2 years ago

Data preprocessing is critical for building effective RAG systems. Our new short course, Preprocessing Unstructured Data for LLM Applications, taught by @mrobinson0623 of @UnstructuredIO, demonstrates important but sometimes overlooked aspects of RAG systems: - How to extract

22 225 1K 150K 800

0 1 3 91 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

Zero to one

Elon Musk @elonmusk

2 years ago

Precisely

7K 33K 209K 51.6M 51K

0 0 2 57 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

Better results can be achieved by using AI Agents than more powerful models with simple prompting. A good (and short) update from Andrew Ng on the latest in the AI agentic workflows: youtube.com/watch?v=sal78A…

0 1 3 93 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

So I looked through NVDA's AI Foundation models and the AI courses they recently published. All meant to to create lock-in within their ecosystem. They've taken an early lead in the AI race and are getting outsized profits. Where there are outsized profits there is competition. It will be an interesting business case to watch re what NVDA will do to defend their position over the next N years. nvidia.com/en-us/training… nvidia.com/en-us/ai-data-…

0 0 4 103 0

View Details

Dmitry Bakaev @bakaevd

2 years ago

@svpino We use Deepgram and love it.

0 0 0 203 0

View Details

Andrew Ng @AndrewYNg

2 years ago

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by @akollegger of @neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here! deeplearning.ai/short-courses/…