#Google Gemini

'Nano Banana 2 is a rumored Gemini image model that self-corrects mid-generation and delivers higher-fidelity, professional-grade images, raising both creative possibilities and concerns about misuse.'

'A concise breakdown of how Google, OpenAI, and Anthropic are building agentic AI stacks, plus benchmarks and deployment guidance for technical teams.'

'Google launches Gemini for Home to replace Assistant with continuous conversational AI on speakers, displays, and cameras, plus a paid Home Premium tier and new hardware.'

'Step-by-step guide to create a hierarchical Supervisor Agent Framework using CrewAI and Google Gemini, with code examples for research, analysis, writing, and review agents.'

'Google's Veo 3 animates old photos into short, soundtracked 720p clips, offering a fast, creative way to prototype cinematic mini-stories.'

'Step-by-step guide to create a Gemini-powered PaperQA2 agent that can query, compare and cite multiple research papers with example code and best practices.'

This tutorial demonstrates building a self-adaptive goal-oriented AI agent using Google Gemini and the SAGE framework, highlighting task decomposition, execution, and learning cycles.

Explore a hands-on tutorial on building intelligent multi-agent systems using the PEER pattern and Google Gemini AI, with detailed code and domain-specific examples.

Google’s Gemini AI now creates crochet-style digital art from text prompts, blending advanced technology with cozy, handcrafted aesthetics.

Discover four key principles of prompt engineering that transform vague requests into precise AI outputs, boosting your productivity with ChatGPT, Google Gemini, and Claude.

Learn to combine AutoGen and Semantic Kernel with Gemini Flash to create advanced multi-agent AI workflows that handle analysis, code review, and creative problem-solving effectively.

This tutorial shows how to use MLflow to evaluate Google Gemini's responses on factual prompts with integrated metrics, combining OpenAI and Google APIs for comprehensive LLM assessment.

A detailed tutorial on building modular, event-driven AI agents using the UAgents framework and Google Gemini API in Python, featuring concurrent execution and structured messaging.

Discover how to create a sophisticated web scraper combining BrightData proxies with Google's Gemini AI for enhanced data extraction and analysis.

'Learn how to build a secure, multi-tool AI agent in Google Colab by integrating Riza’s sandboxed Python execution with Google Gemini’s generative model using LangChain tools.'

Discover how to combine Google Gemini with Pandas and LangChain to perform natural language data analysis on the Titanic dataset, enabling interactive and code-free data insights.

Explore an advanced Python tutorial combining SerpAPI and Google Gemini-1.5-Flash to perform enriched web searches and AI-powered analysis for comprehensive research workflows.

New research reveals that subtle deepfake manipulations, which alter image context and emotions without face swaps, pose a significant detection challenge for humans and AI systems alike.

The Deep Research Bench report by FutureSearch evaluates AI agents on complex research tasks, revealing strengths and key limitations of leading models like OpenAI's o3 and Google Gemini.

Explore a detailed tutorial on building a multi-agent AI collaboration framework using Google Gemini models that enables specialized agents to analyze, critique, and synthesize solutions collaboratively.

Discover how to build sophisticated multi-agent AI workflows using Microsoft AutoGen and Google Gemini, enabling seamless collaboration among specialized assistant agents.

This tutorial demonstrates building an active learning pipeline for medical symptom classification by integrating Adala with Google Gemini for efficient annotation and confidence visualization.

Patronus AI’s Judge-Image leverages Google Gemini to enhance the evaluation of multimodal AI systems, ensuring accurate image-to-text outputs and setting new standards for AI reliability.

Elon Musk’s Grok chatbot now offers real-time vision and multilingual voice support on iPhone, positioning itself as a strong competitor to AI giants like Google Gemini and ChatGPT.

This tutorial demonstrates building an asynchronous AI ticketing assistant using PydanticAI agents with Pydantic v2 models and SQLite, enabling natural language ticket creation and status tracking.