Welcome to “Building an AI Assistant from Scratch,” an exciting journey into the world of artificial intelligence and Python programming. In this comprehensive course, you’ll learn how to create your very own AI assistant capable of performing a variety of tasks, including speech recognition, t...
tools=[48 HandoffTool(target_agent=technical_support_agent),49 HandoffTool(target_agent=sales_assistant_agent),50 HandoffTool(target_agent=order_management_agent)51 ]52 )5354 async def run_triage():55 user_input = "Could you please provide an update on the delivery timeline for...
Let’s break down the building blocks of our chatbot. The core components that power our AI assistant are: LangChain: An open-source framework for building AI applications powered by Large Language Models (LLMs). It serves as the orchestrator in theRetrieval Augmented ...
cd flight-assistant Create and activate a virtual environment: python3 -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate` Install the required library: pip install openai Creating the flight schedule functionLink to this anchor ...
Paul-Emil Iusztin, Founder of Decoding ML, will walk you through the process of building a Second Brain AI assistant from scratch. You’ll learn the core architecture of the AI application, how to collect and preprocess custom data, how to fine-tune ope
Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga August 21, 2024 12 min read 3 AI Use Cases (That Are Not a Chatbot...
adk.tools import google_search root_agent = Agent( name="search_assistant", model="gemini-2.0-flash", # Or your preferred Gemini model instruction="You are a helpful assistant. Answer user questions using Google Search when needed.", description="An assistant that can search the web.", ...
template = """You are an assistant to the user, you are given some context below, please answer the query of the user with as detail as possible Context:\""" {context} \""" Question:\" {question} \""" Answer:""" qa_prompt = PromptTemplate.from_template(template) # User Query qu...
Building AI agents, atomically. Contribute to yml-blog/atomic-agents development by creating an account on GitHub.
(query)chat_completion=client.chat.completions.create(messages=[{"role":"user","content":"You are a helpful assistant and provides structured answers."},{"role":"user","content":query}],model="Phi-3-mini-128k-cuda-int4-onnx",)withst.chat_message("assistant"):st.write(cha...