Gemini
The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens
Google released an updated version of Gemini 2.5 Flash and Gemini 2.5 Flash-Lite preview models across AI Studio and Vertex AI, plus rolling aliases—gemini-flash-latest and gemini-flash-lite-latest—that always point to the newest preview in each family. For production stability, Google advises pinning fixed strings (gemini-2.5-flash, gemini-2.5-flash-lite). Google will give a two-week…
Recreating Gmail’s Google Gemini Animation | CSS-Tricks
I always see this Google Gemini button up in the corner in Gmail. When you hover over it, it does this cool animation where the little four-pointed star spins and the outer shape morphs between a couple different shapes that are also spinning. I challenged myself to recreate the button using the new CSS shape()…
I let Gemini edit my photos, and what the AI is good at surprised me
Summary Gemini is pitched as a productivity tool, but Google is trying to make it a better tool for editing images, too. The company’s new image model lets you make edits just by typing them into Gemini’s prompt box. Gemini seems to excel at big, creative edits — convincing background changes and object removal. The…
How to Build an End-to-End Data Science Workflow with Machine Learning, Interpretability, and Gemini AI Assistance?
In this tutorial, we walk through an advanced end-to-end data science workflow where we combine traditional machine learning with the power of Gemini. We begin by preparing and modeling the diabetes dataset, then we dive into evaluation, feature importance, and partial dependence. Along the way, we bring in Gemini as our AI data scientist to…
Building Advanced MCP (Model Context Protocol) Agents with Multi-Agent Coordination, Context Awareness, and Gemini Integration
class MCPAgent: “””Advanced MCP Agent with evolved capabilities – Jupyter Compatible””” def __init__(self, agent_id: str, role: AgentRole, api_key: str = None): self.agent_id = agent_id self.role = role self.api_key = api_key self.memory = [] self.context = AgentContext( agent_id=agent_id, role=role, capabilities=self._init_capabilities(), memory=[], tools=self._init_tools() ) self.model = None if GEMINI_AVAILABLE and api_key: try: genai.configure(api_key=api_key) self.model = genai.GenerativeModel(‘gemini-pro’) print(f”✅…
ChatGPT Vs. Gemini AI: Which One Makes the Wiser Choice? – Tecuy Media
From getting a tutorial on how to put a diaper on your baby to drafting emails to planning trips to coding while integrating technical solutions, AI is deeply rooted in our lives now. The dilemma comes to decide on which is the best one and a wiser choice to make? The same is with vouching…
A Coding Implementation of an Advanced Tool-Using AI Agent with Semantic Kernel and Gemini
In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as tools, like web search, math evaluation, file I/O, and note-taking, and then let Gemini orchestrate them through structured JSON outputs. We…
Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API
class GeminiAutoGenFramework: “”” Complete AutoGen framework using free Gemini API Supports multi-agent conversations, code execution, and retrieval “”” def __init__(self, gemini_api_key: str): “””Initialize with Gemini API key””” self.gemini_api_key = gemini_api_key self.setup_gemini_config() self.agents: Dict[str, autogen.Agent] = {} self.group_chats: Dict[str, GroupChat] = {} def setup_gemini_config(self): “””Configure Gemini for AutoGen””” os.environ[“GOOGLE_API_KEY”] = self.gemini_api_key self.llm_config = { “config_list”: […
Vilken AI-modell passar dig bäst? ChatGPT, Claude, Gemini, Perplexity – AI nyheter
En guide för dig som är nybörjare och vill testa AI-modeller utöver ChatGPT, Som nybörjare kanske du bara känner till ChatGPT, men det finns många andra kraftfulla AI-modeller att utforska – som Claude, Gemini, Grok och Perplexity AI. Varje AI-modell har unika styrkor anpassade för specifika uppgifter. Vissa är bäst för konversationer, andra excellerar inom…
The End of Moore’s Law for AI? Gemini Flash Offers a Warning – Sutro
For the past few years, the AI industry has operated under its own version of Moore’s Law: an unwavering belief that the cost of intelligence would perpetually decrease by orders of magnitude each year. Like clockwork, each new model generation promised to be not only more capable but also cheaper to run. Last week, Google…