AI

In this tutorial, we use the Colab-ready version of The AutoResearch framework was originally proposed by Andrej Karpathy. We build an automated test pipeline that integrates the AutoResearch repository, configures a lightweight training environment, and runs baseline tests to obtain initial performance metrics. We then create an automated research loop that systematically edits the hyperparameters … Read more

Stanford researchers are silent OpenJarvisan open source architecture framework AI personal agents run entirely on the device. The project comes from Stanford’s Scaling Intelligence Lab and is presented as a research platform and ready-to-deploy infrastructure for the first local AI systems. It focuses on not just modeling, but also the broader software stack needed to … Read more

Tools like ChatGPT, Gemini, and Claude have pushed AI into everyday conversations. Suddenly everyone was talking about AI and a new term that appeared alongside it: Generative AI. Both are commonly used in turnbut they are not the same. Generative AI is not a replacement for AI. It’s part of you. To understand the difference, … Read more

Meta has unveiled four new chips designed to handle tasks such as training and running AI models and recommendations across its social media and other services. The new chips are part of Meta’s Meta Training and Inference Accelerator (MTIA) family and are designed for use in data centers. Meta has been designing its own silicon … Read more

Google recently launched Gemini Embedding 2, its first multimodal embedding model. This is a significant step forward because it brings text, images, video, audio, and documents into one shared embedding environment. Instead of working with separate models for each type of data, developers can now use a single embedding model across multiple methods to retrieve, … Read more

@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency: float = 0.02 act_latency: float = 0.01 risk_gate: float = 0.85 alt_search_depth: int = 2 @dataclass class StreamingDecisionAgent: cfg: AgentConfig world: DynamicGridWorld start_time: float = field(init=False, default_factory=time.time) step_id: int = field(init=False, default=0) current_plan: List[Coord] = … Read more

The gap between proprietary boundary models and more transparent open source models is closing faster than ever. NVIDIA has officially pulled back the curtain Nemotron 3 Superan incredible 120 billion parameter model built specifically for multi-agent applications. Released today, Nemotron 3 Super it sits nicely between the lightweight parameter of the 30 billion Nemotron 3 … Read more

MongoDB is a widely used NoSQL database that stores data in dynamic documents such as JSON objects rather than traditional tables and rows. This document-based structure makes it easy to manage complex or constantly changing data, which is why MongoDB is often used in modern web applications, analytics platforms, and big data systems. Developers can … Read more

Whether it’s used for casual communication, creative role-playing, or adult situations, LYTime AI Chatbot allows users to determine the direction of each exchange. The program prioritizes simplicity alongside freedom of conversation. This combination makes it possible to explore various themes without sacrificing clarity or accessibility. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered … Read more

Google has expanded its Gemini model family with the release of Embedding Gemini 2. This second-generation model is text-only gemini-embedding-001 and is specifically designed to address the high storage and retrieval challenges faced by AI developers who are building productivity. Retrieval-Augmented Generation (RAG) plans. I Embedding Gemini 2 The release marks a significant technological shift … Read more