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Santiago

@svpino

Aug 11, 2022 • 6 tweets • 4 min read • Read on X

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Most experts think that Natural Language Processing is the key to unlocking general artificial intelligence.

This is the time to learn about NLP, and here is a book that will help you with that:

packt.link/PAbu6

What makes this book worth reading?

1 of 6

"Natural Language Processing with TensorFlow" will teach you the following:

1. Core concepts of NLP
2. Transformers
3. Sentence classification
4. Text generation
5. Machine translation
6. Caption generation
7. Data pipelines for NLP

But we can get even more specific:

2 of 6

If you want to focus on specific algorithms and techniques:

1. Word2Vec
2. Convolutional Neural Networks
3. Recurrent Neural Networks
4. LSTM Networks
5. Sequence to Sequence Learning
6. Transformers

And of course, one of my favorite chapters:

3 of 6

The book will teach you how to use TensorFlow.

Remember, it's not enough to read books and watch videos. You need to put everything you learn into practice!

That's what TensorFlow is for!

4 of 6

@thush89

I put the book next to other books I already own.

Attached you can see what it looks like.

Welcome @thush89 to the book collection of @PacktAuthors!

5 of 6

This book will be a great resource if you are a novice or intermediate user of TensorFlow or PyTorch.

Both researchers and industry practitioners will find this book helpful.

Here is the link:

packt.link/PAbu6

#NLP #NaturalLanguageProcessing

6 of 6

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More from @svpino

Santiago

@svpino

Aug 4

AI is changing everything. Full stop.

If you still don't get it, watch this.

Look at the attached video. A company using this tool will execute 100x faster than everyone else. There's simply no match for how fast AI can transform what you do.

I'm working here with @PromptQL. They will help you build a reasoning AI that is specialized to your business.

This makes an ocean of difference:

• Connect to all of your data
• Build a massive knowledge graph
• Incorporate your unique know-how
• Learn over time

The learning part is the thing that blew my mind:

You can teach the system how to interpret your data and how you prefer things to be done.

This knowledge can be reviewed, edited, and deployed so everyone at your company starts using the new version of the model.

Read 4 tweets

Santiago

@svpino

Jul 7

Here is how you can test your applications using an LLM:

We call this "LLM as a Judge", and it's much easier to implement than most people think.

Here is how to do it:

1/11

(LLM-as-a-judge is one of the topics I teach in my cohort. The next iteration starts in August. You can join at .)

2/11ml.school

We want to use an LLM to test the quality of responses from an application.

There are 3 scenarios:

1. Choose the best of two responses
2. Assess specific qualities of a response
3. Evaluate the response based on additional context

3/11

Read 11 tweets

Santiago

@svpino

Jun 6

Bye-bye, virtual assistants! Here is the most useful agent of 2025.

An agent with access to your Gmail, Calendar, and Drive, and the ability to do things for you is pretty mind-blowing.

I asked it to read my emails and reply to every cold outreach message.

My mind is blown!

AI Secretary and the folks @genspark_ai will start printing money!

You can try this out here:

Check their announcement video and you'll see some of the crazy things it can do for you. genspark.ai

The first obvious way I've been using AI Secretary:

100x better email search.

For example, I just asked it to "show me the last 3 emails asking for an invoice for the Machine Learning School cohort."

I also asked it to label every "email containing feedback about the cohort."

Read 6 tweets

Santiago

@svpino

Jun 5

You can now have a literal army of coding interns working for you while you sleep!

Remote Agent is now generally available. This is how we all get to experience what AI is really about.

Here is what you need to know:

Remote Agent is a coding agent based on @augmentcode. They were gracious enough to partner with me on this post.

Remote Agent:

• Runs in the cloud
• Works autonomously
• Can handle small tasks from your backlog

Here is a link to try it out: fnf.dev/4jobOrw

If you have a list of things you've always wanted to solve, let an agent do them:

• Refactor code and ensure tests still run
• Find and fix bugs
• Close open tickets from your backlog
• Update documentation
• Write tests for untested code

Read 5 tweets

Santiago

@svpino

Jun 4

Knowledge graphs are infinitely better than vector search for building the memory of AI agents.

With five lines of code, you can build a knowledge graph with your data.

When you see the results, you'll never go back to vector-mediocrity-land.

Here is a quick video:

Cognee is open-source and outperforms any basic vector search approach in terms of retrieval relevance.

• Easy to use
• Reduces hallucinations (by a ton!)
• Open-source

Here is a link to the repository: github.com/topoteretes/co…

Here is the paper explaining how Cognee works and achieves these results:

arxiv.org/abs/2505.24478

Read 4 tweets

Santiago

@svpino

May 26

Cursor, WindSurf, and Copilot suck with Jupyter notebooks. They are great when you are writing regular code, but notebooks are a different monster.

Vincent is an extension fine-tuned to work with notebooks.

10x better than the other tools!

Here is a quick video:

You can try Vincent for free. Here is a link to the extension:

It works with any of the VSCode forks, including Cursor and Windsurf. The free plan will give you enough to test it out.marketplace.visualstudio.com/items?itemName…

The extension will feel familiar to you:

• You can use it with any of the major models (GPT-X, Gemini, Claude)
• It has an option to Chat and Edit with the model
• It has an Agent mode to make changes to the notebook autonomously

But the killer feature is the Report View.

Read 4 tweets

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