Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial
Transform technical content into engaging social media posts using LangChain and Groq. Build a multi-agent AI system, generate and refine content, implement AI-driven critiques, and visualize workflows with LangGraph.
Comparing Kernel System Calls Across Runtimes - Performance Analysis
Explore system call usage across runtimes using strace. Compare file reading performance in Node.js, Bun, Python, and C. Analyze kernel mode switches and their impact.
Pythonic Functional Programming: List Comprehensions
Explore elegant functional Python using list comprehensions. Learn their equivalence to for loops, map, and filter for more concise and Pythonic code.
Step Up Your Python Dict Game: Dict Comprehensions
Explore Python dictionaries and dictionary comprehensions through hands-on examples, enhancing your coding skills with powerful data structures.
Observability and Instrumentation via OpenTelemetry - Lecture 1
Explore observability basics, instrumentation, and OpenTelemetry standardization. Learn to implement tracing in Python with open-source examples.
bpftrace: What It Is, What's New, and Where It's Going
Explore bpftrace, a high-level Linux tracing language. Learn about its features, recent updates, and future developments for debugging and observability in Linux systems.
Fun with Functions: Designing Fast Math Approximations with Python
Explore fast math approximation techniques for audio using Python. Learn Taylor polynomials, Padé approximants, and minimax methods to optimize computations while balancing accuracy and speed.
Building an Orca Mini and Phi 3 Chatbot with Python on Raspberry Pi 5
Build a Python-based chatbot using Orca Mini and Phi 3 models on Raspberry Pi 5, running locally without internet or subscriptions. Gain hands-on experience in implementing AI models on embedded systems.
Reimagining Recommendation Engines with OpenAI Function Calling, Langchain, and LLMs
Explore AI-powered travel recommendations using OpenAI, Langchain, and APIs. Learn to create personalized suggestions for ideal weather experiences and envision the future of AI assistants in service industries.
Building Local AI Agents with LangGraph and Ollama
Explore building local AI agents using LangGraph and Ollama. Learn integration techniques, code implementation, and compare with vLLM. Gain insights on Ollama's effectiveness for agent development.
Building Your First Python LLM App - A Tutorial on Cloning and Customizing
Clone and adapt a prototype flight search app using OpenAI, Langchain, and live data to build your own LLM-powered application.
Running Llama 3 Locally with Ollama and LlamaEdge
Explore running Llama3 locally with Ollama and LlamaEdge. Learn to operate language models, use WebUI, serve models, and interact via Python. Discover GPTScript and Ollama's user interface for enhanced local LLM usage.
Learn ChatGPT with DevOps Applications
Explore ChatGPT's applications in DevOps, from Linux commands to Kubernetes code. Gain insights on leveraging AI for efficient development and automation while understanding its limitations.
Running ML Workloads with AWS Purpose-Built ML Accelerators and Ray
Discover AWS Trainium and Inferentia ML accelerators for high-performance, cost-effective Generative AI in the cloud. Explore native support for these accelerators in Ray.
Tabular Learning: Skrub and Foundation Models - Automating Data Wrangling
Explore tabular learning with skrub library, automating data wrangling and simplifying complex pipelines for efficient machine learning on organizational data.
SAT Net: Issues with Symbol Grounding - Part 2 of 3
Explore critiques of SAT Net, focusing on the symbol grounding problem in neurosymbolic reasoning. Gain insights from Paulo Shakarian's lecture on this advanced AI topic.
SAT Net: Resolving Symbol Grounding - Part 3
Explore symbol grounding in SAT Net through follow-on work, addressing key challenges in neurosymbolic reasoning and artificial general intelligence.
Introduction to NeuPSL - Part 1
Explore NeuPSL, a neurosymbolic framework combining probabilistic soft logic with deep learning for end-to-end training and logical constraint enforcement. Learn its fundamentals and applications in AI.
NeuPSL: Training and Inference - Part 2
Explore NeuPSL's training and inference processes, combining probabilistic soft logic with deep learning for end-to-end training and logical constraint enforcement in neurosymbolic AI.
NeurASP: Model Training - Part 2
Explore NeurASP's end-to-end training process, connecting ASP programs to neural architectures for gradient flow. Learn model training techniques in this neuro-symbolic framework.
Differentiable Inductive Logic Programming - Part 6: Q&A
Explore Q&A session on differentiable inductive logic programming, discussing key concepts and applications in neuro-symbolic AI with Prof. Paulo Shakarian.