Personal AI assistant in 5 minutes
No code. No card. Free π³
Works in Telegram, WhatsApp, or Discord β just send it tasks by voice or text. It gets things done, not just tells you how to do them.
β Create your personal AI assistant here β
getamplify.team
No code. No card. Free π³
Works in Telegram, WhatsApp, or Discord β just send it tasks by voice or text. It gets things done, not just tells you how to do them.
β’ reads and sends emails
β’ creates and edits Google Sheets
β’ uploads files to Google Drive
β’ works in Notion
β’ sends reminders
β’ generates PDFs, images, and videos
β’ actually makes life and work easier
β Create your personal AI assistant here β
getamplify.team
π₯2β€1
Data Analytics
Personal AI assistant in 5 minutes No code. No card. Free π³ Works in Telegram, WhatsApp, or Discord β just send it tasks by voice or text. It gets things done, not just tells you how to do them. β’ reads and sends emails β’ creates and edits Google Sheetsβ¦
A unique experience, I recommend you try it.
We found an open-source course covering Transformers, LoRA, RAG, prompts, model editing, and other key topics.
After each chapter, you can immediately access the original sources β the authors have compiled papers and collections from arXiv.
https://github.com/ZJU-LLMs/Foundations-of-LLMs
Please open Telegram to view this post
VIEW IN TELEGRAM
β€4
π 10 GitHub repositories that are gaining the most traction right now
Here's a fresh selection of projects that are experiencing significant growth and active discussion.
1. OpenAI Codex
An OpenAI coding agent for the terminal and development automation.
https://github.com/openai/codex
2. God's Eye View
OSINT and open geospatial data on an interactive 3D globe: aviation, satellites, and other sources.
https://github.com/bilawalsidhu/gods-eye-view
3. awesome-gpt-image-2
A large library of prompts, examples, and templates for GPT Image 2.
https://github.com/freestylefly/awesome-gpt-image-2
4. mattpocock/skills
Ready-made skills and workflows for coding agents that can be reused instead of using large prompts.
https://github.com/mattpocock/skills
5. Archify
Builds an interactive map of the codebase architecture: sequence, data flow, lifecycle, and component relationships.
https://github.com/tt-a1i/archify
6. Tailcat
A tool from Tailscale for directly connecting machines via WireGuard and NAT traversal.
https://github.com/tailscale/tailcat
7. Prime Agent
A self-improving coding agent for long, autonomous tasks.
https://github.com/PrimeIntellect-ai/prime-agent
8. Semantica
A graph-native infrastructure for storing context, relationships, and data provenance in AI systems.
https://github.com/semantica-agi/semantica
9. Cursor Plugins
The official repository of Cursor plugins: orchestration, code review, continual learning, and other agent functions.
https://github.com/cursor/plugins
10. AnyDoc
A tool from Firecrawl for converting documents into structured content for AI and RAG.
https://github.com/firecrawl/anydoc
π Looking at the overall trend for the week:
AI agents β agent skills β memory and context β visualization of architecture β tools for autonomous work with the environment
πΎ Save this for yourself so you don't lose it!
#GitHub #AI #DevTools #OpenSource #Coding #TechTrends
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Here's a fresh selection of projects that are experiencing significant growth and active discussion.
1. OpenAI Codex
An OpenAI coding agent for the terminal and development automation.
https://github.com/openai/codex
2. God's Eye View
OSINT and open geospatial data on an interactive 3D globe: aviation, satellites, and other sources.
https://github.com/bilawalsidhu/gods-eye-view
3. awesome-gpt-image-2
A large library of prompts, examples, and templates for GPT Image 2.
https://github.com/freestylefly/awesome-gpt-image-2
4. mattpocock/skills
Ready-made skills and workflows for coding agents that can be reused instead of using large prompts.
https://github.com/mattpocock/skills
5. Archify
Builds an interactive map of the codebase architecture: sequence, data flow, lifecycle, and component relationships.
https://github.com/tt-a1i/archify
6. Tailcat
A tool from Tailscale for directly connecting machines via WireGuard and NAT traversal.
https://github.com/tailscale/tailcat
7. Prime Agent
A self-improving coding agent for long, autonomous tasks.
https://github.com/PrimeIntellect-ai/prime-agent
8. Semantica
A graph-native infrastructure for storing context, relationships, and data provenance in AI systems.
https://github.com/semantica-agi/semantica
9. Cursor Plugins
The official repository of Cursor plugins: orchestration, code review, continual learning, and other agent functions.
https://github.com/cursor/plugins
10. AnyDoc
A tool from Firecrawl for converting documents into structured content for AI and RAG.
https://github.com/firecrawl/anydoc
π Looking at the overall trend for the week:
AI agents β agent skills β memory and context β visualization of architecture β tools for autonomous work with the environment
πΎ Save this for yourself so you don't lose it!
#GitHub #AI #DevTools #OpenSource #Coding #TechTrends
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
GitHub
GitHub - openai/codex: Lightweight coding agent that runs in your terminal
Lightweight coding agent that runs in your terminal - openai/codex
β€2
From machine learning and data visualization to time series and financial data.
This repository contains 920 open-source Python projects, categorized into 34 groups.
It's a great collection if you want to quickly find reliable libraries and tools for machine learning, data analysis, and related tasks, rather than searching everything manually on GitHub.
https://github.com/lukasmasuch/best-of-ml-python
This repository contains 920 open-source Python projects, categorized into 34 groups.
It's a great collection if you want to quickly find reliable libraries and tools for machine learning, data analysis, and related tasks, rather than searching everything manually on GitHub.
https://github.com/lukasmasuch/best-of-ml-python
β€2
π₯ GPT INPUT FROM JUST US$0.03 / 1M TOKENS!
β‘οΈ Top up US$20 in a single payment to unlock the 1.5% GPT official rate:
- gpt-5.6-terra: US$0.03 inputο½US$0.18 output
- gpt-5.6-sol / gpt-5.5: US$0.075 inputο½US$0.45 output
All prices are per 1 million tokens.
π One API key for GPT, Claude, Grok, Gemini, DeepSeek, and more.
π Sign up and get US$0.25 in free trial credit.
Claim your credit and start testing now π
https://modelflare.dev/
β‘οΈ Top up US$20 in a single payment to unlock the 1.5% GPT official rate:
- gpt-5.6-terra: US$0.03 inputο½US$0.18 output
- gpt-5.6-sol / gpt-5.5: US$0.075 inputο½US$0.45 output
All prices are per 1 million tokens.
π One API key for GPT, Claude, Grok, Gemini, DeepSeek, and more.
π Sign up and get US$0.25 in free trial credit.
Claim your credit and start testing now π
https://modelflare.dev/
β€2
This media is not supported in your browser
VIEW IN TELEGRAM
Load it, clean it, pivot it, plot it, then explain the plot to someone who will ask why the line dips in March.
Create your own AI agent inside Telegram in about a minute and run the whole pass through it.
β«οΈ send a CSV or an XLSX and get the profile back: shape, nulls, outliers, what looks wrong
β«οΈ ask for a chart in plain words and it writes the code, runs it and returns the image
β«οΈ send a screenshot of a dashboard and ask what changed
β«οΈ puts a small mini-app inside Telegram so your team can re-run the report without you
β«οΈ keeps your metric definitions in memory, so it stops asking what active means
β«οΈ voice in, voice out while your hands are on the keyboard
Setup takes a minute: open the link, start the free trial, name your agent.
30 days free, no card needed.
Please open Telegram to view this post
VIEW IN TELEGRAM
β€4
Forwarded from Machine Learning
Please open Telegram to view this post
VIEW IN TELEGRAM
Understanding Attention
From Q, K, V to Modern Transformer Attention
https://drive.google.com/file/d/1fCHQ5xCQJ6jZszAYf-qP3VIySbzFIEDv/view
@DataAnalyticsX
From Q, K, V to Modern Transformer Attention
https://drive.google.com/file/d/1fCHQ5xCQJ6jZszAYf-qP3VIySbzFIEDv/view
@DataAnalyticsX
β€3π2