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Senior Machine Learning Engineer 🧑🏽‍💻
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AI is the shortcut to get to MVP as fast as possible.

Paul shares how the shift to Large Language Models (LLMs) is changing the game! For software engineers, this is a massive opportunity.

Among other points:

⚡️ Faster development cycles - skip lengthy training!
🚀 Focus on application logic and user experience.

Discover why Paul believes this "no-training-needed" era is amazing for innovation.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

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2 years ago

🤯 Is your AI assistant a true brain extension or just spitting generic facts and hallucinations?

Paul dives deep into how he uses Large Language Models (LLMs): forcing them to rely on his own knowledge and resources.

If you want to know how to ensure your AI provides insights rooted in your own expertise, I encourage you try his new course about building an AI Second Brain.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

Are Data Science skills enough for building cutting-edge LLM applications?

Paul explains that strong Software Engineering and DevOps skills are now critical when working with Large Language Models. He shows why the focus is shifting.

🛠️ 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝗿𝗲 𝗞𝗶𝗻𝗴: Prompt Engineering, deployment, and system architecture are key.

📉 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗶𝗻 𝘁𝗵𝗲 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗲𝗻𝘀𝗲) 𝗧𝗮𝗸𝗲𝘀 𝗮 𝗕𝗮𝗰𝗸𝘀𝗲𝗮𝘁: No need to fine-tune LLMs constantly.

🚀 𝗥𝗮𝗽𝗶𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: Focus on building and deploying applications quickly using pre-trained models.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

😬 Reality Check: 80-90% of AI projects fail. Why is the failure rate so high?

Paul explains the fundamental reason why so many promising AI initiatives fall short of expectations:

🎯 𝗖𝗹𝗲𝗮𝗿 𝗦𝘆𝘀𝘁𝗲𝗺 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗡𝗼𝗻-𝗡𝗲𝗴𝗼𝘁𝗶𝗮𝗯𝗹𝗲: Latency, throughput, online inference – define them upfront!

🚧 𝗟𝗮𝗰𝗸 𝗼𝗳 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗩𝗶𝘀𝗶𝗼𝗻: Many projects focus on ML in isolation, neglecting deployment and accessibility: avoid the bottom-up approach.

🔑 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗶𝗻 𝗠𝗶𝗻𝗱: Understand how your AI feature will function in the real world, from the outset.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

🤯 Imagine using LLMs to enhance your search before making recommendations!

Paul reveals a fascinating technique: using Large Language Models (LLMs) to generate imaginary search items based on your query.

What's the point? Read on!

✨ 𝗤𝘂𝗲𝗿𝘆 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻 𝗼𝗻 𝗦𝘁𝗲𝗿𝗼𝗶𝗱𝘀: LLMs generate diverse, imaginary items related to your search.

🔍 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗕 𝗦𝗲𝗮𝗿𝗰𝗵: Use these imaginary items to query your vector database and find *more relevant* real results.

🚀 𝗡𝗲𝘅𝘁-𝗟𝗲𝘃𝗲𝗹 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵: Go beyond keyword matching and discover hidden connections.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

How can you deliver exceptional search and recommendation experiences?

🥇 It's not just about retrieval – it's also about reranking!

Paul explains the crucial role of Rankers in sophisticated retrieval systems.

Imagine retrieving hundreds of potentially relevant items… how do you present the most relevant ones first?

Here's why reranking is essential:

🏆 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲: Ensure users see the *best* results at the top, whether for shopping or news feeds.

⚙️ 𝗙𝗲𝗮𝘁𝘂𝗿𝗲-𝗥𝗶𝗰𝗵 𝗥𝗮𝗻𝗸𝗶𝗻𝗴: Rankers leverage user and item features for intelligent probability calculations.

🚀 𝗕𝗼𝗼𝘀𝘁 𝗨𝘀𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Deliver a more satisfying and efficient search/discovery experience.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

🤯 Complex SQL queries got you down? There's a smarter way: Tabular Semantic Search

Paul reveals how embedding SQL database columns independently can dramatically simplify your queries and unlock powerful semantic search capabilities within your databases.

Here’s how embeddings revolutionize search:

🚀 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: Move beyond rigid filters and embrace flexible, semantic searching.

🧠 𝗧𝗮𝗯𝘂𝗹𝗮𝗿 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗮𝗿𝗰𝗵: Understand the *meaning* of your data, not just keywords.

💡 𝗢𝘃𝗲𝗿𝗰𝗼𝗺𝗲 𝗦𝗤𝗟 𝗙𝗶𝗹𝘁𝗲𝗿 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀: Find relevant results even when exact matches are missing.

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

Want to build your own LLM-powered application but feel lost in the complexity?

𝗜𝘁'𝘀 𝗲𝗮𝘀𝗶𝗲𝗿 𝘁𝗵𝗮𝗻 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗶𝗳 𝘆𝗼𝘂 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝘁 𝗧𝗢𝗣-𝗗𝗢𝗪𝗡!

Paul breaks down the essential building blocks for crafting your own LLM application.
Forget the hype, and focus on the practical steps.

From custom data collection and fine-tuning to deploying your model and building intelligent chatbots, this video gives you the roadmap.

Check out hist new courses about building an AI Second Brain. You'l learn about:

🔑 Custom Data Pipelines
⚙️ Feature Engineering
🚀 Vector Databases
🤖 Agentic vs. Static Chatbots

Link to the full episode below 👇🏽

#ai #llm #opensource #python #agent by @bitswired

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2 years ago

🔥 Tired of copy-pasting files into ChatGPT or Claude or Deepseek?

I built a 100-line Python script that packs an ENTIRE directory into a single AI-friendly file.

It saves me tons of time.

The cool part? Zero installation needed - just grab the script and run it thanks to uv.

Video: https://youtu.be/Q9-DpH0D4vg by @bitswired

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2 years ago

Christmas Season is The Best ❤️🎅🏾🎄 by @bitswired

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2 years ago

"When you're doing time series forecasting but LinkedIn is full of text-to-video and LLM posts... 😅"

The struggle of staying focused while exciting new tech drops every week is real!

Real talk about fighting FOMO in tech.

From the full podcast episode: https://youtu.be/57P6GW82AG0

#podcast #tech #ai #datascience #focus by @bitswired

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2 years ago