3. Project-Based Learning: Learning the concepts is great, but implementing them for real-world use cases will get your hands dirty. Check out the below repo. Also, leverage LLMs like ChatGPT and Claude 3.5 Sonnet to learn and build things quickly. https://
github.com/practical-tuto
rials/project-based-learning?tab=readme-ov-file#python
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CODE
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Project-Based Learning: Implement Concepts with Real-World Use Cases
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Corey Schafer: Best YouTube Channel for Learning Python
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2. Corey Schafer Best YouTube channel to learn Python! Corey explains every pythonconcept from scratch along with project based implementation. Check it out:
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Low Code AI Apps Get Engaging Workflow Updates
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🔥 Take your workflows up a notch with engaging new updates in Low Code AI apps. #AI #LowCode
— MathWorks (@MathWorks) 30 juin 2024
Dive into the latest interactive features ➡️ https://t.co/rxDx9Gd888 pic.twitter.com/ZKWM6dizwzTake your workflows up a notch with engaging new updates in Low Code AI apps. #AI #LowCode Dive into the latest interactive features https://
spr.ly/6018gFmZo -

Agentic Framework for GenAI Applications at DataHack Summit 2024
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I'll be speaking at the @AnalyticsVidhya DataHack Summit 2024, on "Agentic Framework for #GenAI Applications" Planning to cover the following topics: » Understanding of Multi-agent systems and their frameworks » Practical Tools and Techniques: AutoGen, CrewAI, PhiData, Function calling » Hands-on Experience with Code Samples and Use Cases For more details, please visit: bit.ly/3yaN0S2 See you there! #AnalyticsVidhya #DataHackSummit2024 #DHS
→ View original post on X — @sudalairajkumar, 2024-06-30 07:49 UTC
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Install Llama-3 locally with AIOS network client app
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Here's how you can do it in 4 simple steps:
— Shubham Saboo (@Saboo_Shubham_) 30 juin 2024
Step 1: Go to https://t.co/AlfPDisHSl
Step 2: Simply install the client app on your laptop
Step 3: Open the app on your laptop
Step 4: Install "Llama-3" from AI models or use the model running on someone else's machine. pic.twitter.com/EnTDfubBVMHere's how you can do it in 4 simple steps: Step 1: Go to https://
aios.network
Step 2: Simply install the client app on your laptop
Step 3: Open the app on your laptop
Step 4: Install "Llama-3" from AI models or use the model running on someone else's machine. -
Dynamic prompts for different AI models optimization
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Good point on mimicking what Claude uses in their system prompt. Does it mean I need dynamic prompt based on model I guess?
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System Prompt Placement Impact on AI Behavior
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Oh man this makes so much sense and might be why I was having issues somewhere else. I lazily had system prompt as last message and was thinking it would treat it same as system prompt at top.
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Linear Algebra for Computer Vision, Robotics, and Machine Learning
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Linear Algebra for Computer Vision, Robotics, and Machine Learning https://
cis.upenn.edu/~cis5150/linal
g-I-f.pdf
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Microservice Graph-Based Agent Framework Development
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been slowly deleting/consolidating files this past two weekends my take on a microservice inspired graph based agent framework (template?) coming hopefully soon! (had to take a six week break from coding to catch up on work…)
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Command R+ Multi-Step Tool Use for Agents and RAG
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Great session Sandra, loved it ⌘ R+ looks super interesting with the multi-step tool use. I would love to port my agents and RAG demos here to Command R+ Also, loved the fact that you opened the weights for ⌘ R and R+, now I can use it locally.