Private ChatGPT Alternatives: Llama3, Mistral a. more with Function Calling, RAG, Vector Databases, LangChain, AI-Agents
InstructorArnold Oberleiter
Covers a wide range of topics including local LLM setup, RAG workflows, and agent orchestration using various open-source tools.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This interface demonstrates the orchestration of AI agents using a visual workflow builder, connecting a Supervisor node to specialized Workers for code generation and documentation.
This screen capture shows a Google Colab notebook where Python code utilizes the LlamaParse library to extract and parse text from an Apple 10-K financial document.
This instructional slide from an AWS documentation page illustrates how machine learning models convert raw text data into continuous numerical vectors for interpretation.
This frame demonstrates the local usage of open-source models via Ollama by showing a PowerShell terminal executing commands to run Llama 3.
The instructor provides clear, step-by-step explanations that make complex local deployment concepts approachable for beginners.
Several tools, including Flowise and HuggingChat, have experienced significant updates or changes that create discrepancies with the instructional material. Note that while a recent update label is present, several negative signals predating this date suggest these issues may persist.
The curriculum focuses on UI-centric tools and lacks the Python code examples or framework depth desired by developers. Note that while a recent update label is present, negative signals predating this date suggest these issues may persist.
Aligns well with beginners using UI tools, but lacks the depth and professional setup required by developers; while an update label is present, negative signals predated it. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.