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In this article, you will learn how we’ll go from a simple machine learning model to a production-ready API using FastAPI, one of Python’s fastest and most developer-friendly web frameworks, in just under 10 minutes. She co-authored the ebook "Maximizing Productivity with ChatGPT". That’s where REST APIs come in.
As time goes on, many LLM models and products have become available, each with its pros and cons. Google Vertex AI, like Gemini. For example, here is the Python code to use Google’s Gemini model with LiteLLM. For example, here is the Python code to use Google’s Gemini model with LiteLLM.
Instead of sweating the syntax, you describe the “ vibe ” of what you want—be it a data pipeline, a web app, or an analytics automation script—and frameworks like Replit, GitHub Copilot, Gemini Code Assist, and others do the heavy lifting. This shift boosts productivity and allows teams to iterate faster. How does vibe coding work?
Why privacy in Gen AI is a growing concern While Gen AI platforms offer clear productivity benefits, they often expose users to complex data privacy risks that are hard to detect. At the bottom of the ranking are Meta AI , Gemini (Google) , and Copilot (Microsoft). DeepSeek, Pi AI, and Google’s Gemini offered the least clarity.
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on June 25, 2025 in Artificial Intelligence Image by Author | Ideogram Trust me, this isn’t one of those clickbait articles with shady affiliate links or forced product placements. Users can feed their own documents into it, and the new Gemini 2.5 We all know them.
What started with curiosity about GPT-3 has evolved into a business necessity, with companies across industries racing to integrate text generation, image creation, and code synthesis into their products and workflows. Modern LLMs like GPT-4, Claude, and Gemini demonstrate capabilities that extend far beyond text generation.
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on August 6, 2025 in Language Models Image by Author | Canva # Introduction Gemini CLI is Google’s new open-source AI assistant that runs in your terminal. It brings the Gemini language model (Gemini 2.5 In short, it’s like ChatGPT for developers.
Awesome LLM Apps with Agents and RAG Repo: Shubhamsaboo/awesome-llm-apps Discover apps that combine AI agents, retrieval-augmented generation (RAG), MCP servers, and cutting-edge models like OpenAI, Anthropic, and Gemini. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
How structured & unstructured data meet generative AI in scalable platforms—with demos across Cortex Agents, Gemini models, AI storytelling, data orchestration, and flexible agent workflows. Google Cloud – Gemini 2.0/2.5 via Vertex AI Speaker : Holt Skinner, Developer Advocate @ Google Cloud AI Gemini 2.5
Google announced its open-source Gemini CLI today, providing natural language command execution within developer terminals, powered by Google’s Gemini Pro 2.5. The Gemini CLI offers a free usage tier, which includes 60 model requests per minute and a daily limit of 1,000 requests. license, making it an open-source tool.
Bonus: Gemini CLI Gemini has launched an open-source agent that you can interact with from your terminal. Besides ChatGPT, you can also use Gemini CLI to handle routine data science tasks, such as cleaning, exploration, and even building a dashboard to automate these tasks. You can install it by using this code. (60
The overarching objective is to enhance individual engineer productivity and foster more rapid iteration and development cycles. This internal development aligns with Google’s external product releases over the past year, which include Gemini Code Assist, Gemini CLI, and Gemini in Android Studio.
“We have incredible tools to augment our productivity, to augment our employees… improve our customer relationships,” Benioff stated. Salesforce CEO’s big praise for Google Gemini Live Nvidia is also joining the movement towards agentic AI.
As part of the agreement, Agentforce will leverage Googles Gemini models, enabling it to process complex tasks involving images, audio, and video, as well as use real-time insights grounded in Google Search with Vertex AI.
In this tutorial, I’ll walk you through how I combined Google’s Gemini Flash with AutoGen and Semantic Kernel to create a multi-agent AI assistant capable of everything from analyzing text and summarizing reports to reviewing code and generating creative solutions. These will power specific tasks like analysis, summarization, and code review.
ML Pipeline Integration Connect directly to training pipelines in platforms like Kubeflow or MLflow , automatically implementing high-value feature suggestions in production models. Conclusion This AI-powered feature engineering workflow shows how n8n bridges cutting-edge AI capabilities with practical data science operations.
She co-authored the ebook "Maximizing Productivity with ChatGPT". Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence.
Google has pumped out so many AI products in recent years that I’d need my fingers, toes, and the digits of several other people to keep count. Its current public-facing headliner is Gemini, which also doubles as its virtual assistant on its myriad … Get a glimpse of Google's offline AI future.
Enhancing productivity Today, the most important contribution that LLMs make to AI development may also be the most banal. If engineers are more productive because of this coding assistance, they will be able to design, test, and deploy new AI systems more quickly. The training of Gemini takes a significant amount of time.
Users on social media have found a controversial application for Googles Gemini AI model, specifically its ability to remove watermarks from images, including those published by Getty Images and other stock media providers. Stock image companies are not going to like this Last week, Google expanded access to its Gemini 2.0
Plus: Google Launches Gemini AI App for iPhone This member-only story is on us. ⏱ In today’s edition: Google Launches Gemini AI App for iPhoneYouTube Tests AI Music Remixing Feature for ShortsPerplexity Introduces AI-Generated AdsAnd more AI news….Image Upgrade to access all of Medium. From research to projects and ideas.
And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing. When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. Two other recommended products are from Google and Microsoft.
8B across 11 benchmarks and Google Gemini 1.5 Production-quality visual content Amazon Nova Canvas generates professional-quality images from text or image prompts, with built-in controls for editing, color adjustments, and layouts. uses Nova Reel to streamline creative video production, reducing campaign timelines from weeks to days.
As 2025 begins, Google CEO Sundar Pichai announced that new AI products and features will be rolled out within the next few months in an email to employees, which was reported by 9to5Google. He mentioned his review of demos for upcoming products and features, expressing confidence in maintaining momentum moving into 2025. Gemini 2.0
Shevelenko spends 75% of his time working to reach partnerships with carriers and phonemakers to distribute Perplexity’s app, describing it as a “jungle gym” to change the default AI assistant from Google’s Gemini to Perplexity on an Android phone. Featured image credit
People are starting to realize that vibe coding is fun, but if you want to build a sustainable product, you need to learn the basics. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
Learn more about our Publications Learn more Publications Resources We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Note that this initial data set is typically highly imbalanced, since in production traffic only very few (<1%) ads are actually clickbait.
Learn more Google ‘s recent decision to hide the raw reasoning tokens of its flagship model, Gemini 2.5 And it happened to be one of the key advantages of Gemini 2.5 Logan Kilpatrick, a senior product manager at Google DeepMind, clarified that the change was “purely cosmetic” and does not impact the model’s internal performance.
A current star feature among the Google Cloud arsenal, Firebase Studio is the result of a unification between Google Project IDX (a cloud-based AI-assisted development environment) and of course Gemini, Google’s AI machine learning driven chatbot service. MORE FOR YOU Ask: This mode can be used for discussion and planning with Gemini.
Pichai even mentioned that Google DeepMind is now overseeing teams like the one behind the Gemini app, showing just how seriously Google is taking this shift. The idea is to make engineers more productive, not to replace them. AI is everywhere in Google’s products. According to Pichai, the answer is no.
GeminiGemini 2.5 Blog: [link] Paper Link (Gemini 1.5): [link] Paper Link (Gemini): [link] Gemini is Google’s next-generation LLM family (from Google DeepMind and Google Research), introduced in late 2023. In June 2025, Google released Gemini 2.5 a Mixture-of-Experts (MoE) architecture for efficiency.
These models are the engine behind AI applications such as ChatGPT, Claude, LLaMA, and Gemini. Whether you’re just getting started with AI or deploying LLMs in production, knowing how LLMs work equips you to innovate responsibly and effectively. Ready to dive deeper? Read more about transformer models.
Leaders from Monte Carlo, TrueFoundry, LlamaIndex, TripAdvisor, and more shared how they’re moving from prototypes to production, surfacing the tools, patterns, and challenges they’ve encountered along the way. Can we go from prototyping to production with Gemini, Graph RAG, and Agency-based design? One more week to go!
Reports indicate that the upcoming app will expand access beyond current limitations, facilitating competition with existing AI services like Google’s Gemini and Anthropic’s Claude. Featured image credit: x.ai
Google’s AI chatbot, Gemini, reached 350 million monthly active users globally as of March, according to internal data revealed during the company’s ongoing antitrust lawsuit. Despite this growth, Gemini still trails behind the industry’s most popular AI tools. Featured image credit
Powered by Gemini 2.5 According to a recent TechCrunch article, Kathy Korevec, director of product at Google Labs, stated that enhanced stability influenced the decision to transition Jules out of beta. Google launched Jules, its AI coding agent, out of beta on Wednesday, approximately two months after its public preview debut in May.
Week 3 of the Agentic AI Summit brought the series to a powerful close, shifting from building and deploying agents to evaluating, governing, and scaling them in production environments. The session provided a repeatable framework for deploying trustworthy, production-ready agentic systems.
By using the power of large language models (LLMs) such as Gemini, LangExtract offers a streamlined, accessible, and highly adaptable solution to some of NLP’s most persistent challenges. This makes LangExtract particularly appealing for production environments where time, cost, and efficiency are critical factors.
Notified Bodies are designated organizations responsible for assessing the conformity of specific products or services with applicable EU regulations. First, those used as safety components of products governed by EU product safety laws. These systems are categorized into two main groups.
Here's how it compares with Gemini CLI GitHub Actions. Announced in a blog post on Wednesday, the coding helper will be powered by Google's Gemini 2.5 You might recall that Google also recently announced its Gemini CLI GitHub Actions coding tool. Also: Gemini Pro 2.5 7, 2025 at 5:36 a.m.
The hours I’ve spent in focused immersion — several times a week — have been far more productive than much more fragmented blocks of distracted productivity ever could. Of course, you have — names like LLaMA, Gemini, Claude, or Bard fill the tech news cycle.
Meanwhile, tech giant Google has introduced tools that further allow companies to build tailored AI agents using its Gemini large language models. The anticipation is palpable, as stakeholders eagerly await how these systems could redefine productivity and collaboration across multiple fields.
Whether you’re a data scientist, developer, or everyday user, understanding and leveraging google ai mode can dramatically enhance your productivity and search accuracy. For Gemini users : AI mode is often enabled by default. Everyday Productivity Plan trips, manage schedules, or draft content using AI-powered search.
With a staggering 90% of respondents incorporating platforms like ChatGPT, Claude, and Google Gemini into their workflows, its clear that conversational agents have found their place in the professional toolkit. Conversational AI: Now a Workplace Essential Conversational AI tools have moved from novelty to necessity.
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