Machine Learning Space (@ml__space) 's Twitter Profile
Machine Learning Space

@ml__space

Community for Machine Learning

ID: 1584917870903193603

calendar_today25-10-2022 14:40:51

60 Tweet

810 Followers

11 Following

Machine Learning Space (@ml__space) 's Twitter Profile Photo

Learn Data Engineering for FREE! Data Talks Club is starting a new batch of our free Data Engineering course on Jan 15! - Learn the most important concepts in data engineering - Get real-world hands-on experience - Build a project for your portfolio airtable.com/appzbS8Pkg9PL2…

Learn Data Engineering for FREE!

Data Talks Club is starting a new batch of our free Data Engineering course on Jan 15!  

- Learn the most important concepts in data engineering
- Get real-world hands-on experience
- Build a project for your portfolio

airtable.com/appzbS8Pkg9PL2…
Machine Learning Space (@ml__space) 's Twitter Profile Photo

Free Python Notes for Professionals Book! This book will take your Python skills to the next level. To get the free copy, just: 1. Like & Retweet 2. Reply “Python Notes” 3. Follow me (so I can DM)

Free Python Notes for Professionals Book!

This book will take your Python skills to the next level.

To get the free copy, just:

1. Like & Retweet
2. Reply “Python Notes”
3. Follow me (so I can DM)
Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

Generative UI is going to be the next big thing in AI. Where UI of AI apps are dynamically generated. Interactive. Adaptive to user context and needs. C1 API by Thesys is building the infra to enable this for any AI app👇

Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

Meet MemU: The agentic memory framework giving LLMs a long-term brain Unlike standard RAG, MemU: ✅ Processes multimodal inputs (text, docs, images) ✅ Organizes data into a hierarchical file system ✅ Supports both embedding-based & LLM-driven retrieval A deep dive 🧵 👇

Meet MemU: The agentic memory framework giving LLMs a long-term brain

Unlike standard RAG, MemU:
✅ Processes multimodal inputs (text, docs, images)
✅ Organizes data into a hierarchical file system
✅ Supports both embedding-based & LLM-driven retrieval

A deep dive 🧵 👇
Python Space (@python_spaces) 's Twitter Profile Photo

What if the world you’re living in could change with your every move PixVerse R1 is a revolution in how we think about content. It’s not just media. It’s a living reality. 🧵👇

Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

The gap between "coding" and "shipping" just disappeared. ⚡️ TRAE is celebrating 1 year of evolving the AI Engineer. To mark the milestone, they are offering bonus Fast Requests until Feb 14 for advanced models like GPT-5.2 and Gemini 3 Pro. I just generated my Annual

The gap between "coding" and "shipping" just disappeared. ⚡️

<a href="/Trae_ai/">TRAE</a> is celebrating 1 year of evolving the AI Engineer. To mark the milestone, they are offering bonus Fast Requests until Feb 14 for advanced models like GPT-5.2 and Gemini 3 Pro. 

I just generated my Annual
Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

How to build cross-modal retrieval? In this thread, I’ll show you how to build image-to-text (cross-modal) retrieval using Haystack and Gemini Embedding2. A step-by-step guide 🧵 👇

How to build cross-modal retrieval?

In this thread, I’ll show you how to build image-to-text (cross-modal) retrieval using <a href="/Haystack_AI/">Haystack</a> and Gemini Embedding2.

A step-by-step guide 🧵 👇
Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

Give every employee their own AI employee. Diana lives in your Slack workspace and gets real work done. Not a chatbot. Not a copilot. A coworker that handles tasks end-to-end. Here's what makes it different 🧵👇

Give every employee their own AI employee.

Diana lives in your Slack workspace and gets real work done.

Not a chatbot. Not a copilot. A coworker that handles tasks end-to-end.

Here's what makes it different 🧵👇
Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

Lightning V3, smallest.ai's latest Text-to-Speech model built specifically for conversational voice agents, has just raised the bar Delivering state-of-the-art naturalness across both inbound and outbound contact center scenarios More details 👇

Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

Bots are writing code and bots are reviewing it. But in most cases nobody checks whether the AI review was actually right. The inspection line is running on its own. This benchmark tracks how close AI review is to matching human judgment. That's the gap that matters

Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

How to build an Agentic RAG Application in simple steps? In this thread, I’ll show you how to build an Agentic RAG with automatic web search fallback using Haystack A step-by-step guide 👇🧵

How to build an Agentic RAG Application in simple steps?

In this thread, I’ll show you how to build an Agentic RAG with automatic web search fallback using <a href="/Haystack_AI/">Haystack</a>

A step-by-step guide 👇🧵
Afiz ⚡️ (@itsafiz) 's Twitter Profile Photo

This is huge: Now, you can run Kimi K2.6 with Claude Code! ollama let you run Kimi K2.6 cloud version with Claude Code, Opencode, CodeX, OpenClaw and more without any extract setup. A step-by-step guide 🧵 👇

This is huge:

Now, you can run Kimi K2.6 with Claude Code!

<a href="/ollama/">ollama</a> let you run Kimi K2.6 cloud version with Claude Code, Opencode, CodeX, OpenClaw and more without any extract setup.

A step-by-step guide 🧵 👇