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Browsing: Custom
How to Combine Google Search, Google Maps, and Custom Functions in a Single Gemini API Call With Context Circulation, Parallel Tool IDs, and Multi-Step Agentic Chains
import subprocess, sys subprocess.check_call( [sys.executable, “-m”, “pip”, “install”, “-qU”, “google-genai”], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) import getpass, json, textwrap, os, time from google import genai from google.genai import…
How to Build a Netflix VOID Video Object Removal and Inpainting Pipeline with CogVideoX, Custom Prompting, and End-to-End Sample Inference
In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install all required dependencies, clone the repository,…
How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and…
How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations
In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground up. We set up…
Claude Skills is the latest AI tool that targets AI automation at some level. Anthropic was smart enough to identify one key problem developers face every…
Businesses across industries face a common challenge: how to efficiently extract valuable information from vast amounts of unstructured data. Traditional approaches often involve resource-intensive processes and…
I stream music on Spotify as much as the next guy, but regrettably, using the app’s Linux desktop client isn’t the most wholesome experience. Don’t get…
If you regularly use AI, especially for coding, you know there is an obvious upgrade to the usual to-and-fro in chats. What if you could save…
This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often stalls between experimentation and production. Training…
Building custom model provider for Strands Agents with LLMs hosted on SageMaker AI endpoints
Organizations increasingly deploy custom large language models (LLMs) on Amazon SageMaker AI real-time endpoints using their preferred serving frameworks—such as SGLang, vLLM, or TorchServe—to help gain…
