AI

class EverMemAgentOS: def __init__( self, workdir: str = “/content/evermem_agent_os”, db_name: str = “evermem.sqlite”, embedding_model: str = “sentence-transformers/all-MiniLM-L6-v2”, gen_model: str = “google/flan-t5-small”, stm_max_turns: int = 10, ltm_topk: int = 6, consolidate_every: int = 8, consolidate_trigger_tokens: int = 1400, compress_target_chars: int = 420, seed: int = 7, ): self.workdir = workdir _ensure_dir(self.workdir) self.db_path = os.path.join(self.workdir, db_name) self.embedder … Read more

As AI development shifts from simple conversational interfaces to autonomous, multi-step agents, the industry has encountered a critical bottleneck: not deciding. Unlike conventional software where code follows a predictable path, agents built into LLMs introduce a high level of variability. LangWatch is an open source platform designed to address this by providing a standardized layer … Read more

Time series data drives forecasting in finance, sales, healthcare, and energy. Unlike typical machine learning problems, it must preserve chronological order. Ignoring this property leads to data leakage and misleading performance estimates, making model testing unreliable. Cross-validation of time series addresses this by maintaining temporal integrity during training and testing. In this article, we cover … Read more

Current robotics policies, especially Vision-Language-Action (VLA) models, often work with a single observation or a very short history. This ‘memory deficit’ makes long-horizon tasks, such as cleaning the kitchen or following a complex recipe, impossible to compute or prone to failure. To address this, researchers from Physical Intelligence, Stanford, UC Berkeley, and MIT have presented … Read more

Could symbolic regression be the key to turning fuzzy deep learning models into interpretive, closed-loop statistics? or Say you trained your deep learning model. It works. But do you know what it actually reads? A team of researchers from the University of Cambridge proposes ‘SymTorch’, a library designed to integrate symbolic reduction (SR) in the … Read more

In this tutorial, we show how to fine-tune a macro language model using Misbehavior and QLoRA. We focus on building a stable, well-maintained pipeline that handles common Colab problems such as GPU detection failures, runtime crashes, and library incompatibilities. By carefully controlling the environment, model configuration, and training loop, we demonstrate how to reliably train … Read more

Google has released it Gemini 3.1 Flash-Litethe most cost-effective entry in the Gemini 3 model series. Designed for ‘intelligence in scale,’ this model is optimized for high-volume operations where low latency and token cost are key engineering constraints. It is currently available in Public Preview with Gemini API (Google AI … Read more

Luvr Image Generator serves as an AI-driven image creation platform designed for unlimited artistic expression, offering greater flexibility than most standard services. ⚡️ FAVORITE PICTURE GENERATORS ⚡️ Candy AI Try Candy AI Unfiltered AI imagesReal GirlsNSFW discussion My Dream Companion Try MyDreamCompanion Spicy AI ChattingHigh Quality Image ProductionBuild the Perfect AI Partner Our dream Try … Read more

Alibaba is exempt OpenSandboxis an open source tool designed to provide AI agents with a secure, isolated environment for coding, web browsing, and model training. Issued under Apache License 2.0the proposed system aims to standardize the ‘execution layer’ of the AI ​​agent stack, providing a unified API that works across various programming languages ​​and infrastructure … Read more

In this tutorial, we design an end-to-end, production-style analysis and modeling pipeline using it Vax efficient for millions of rows without committing data to memory. We generate a real-time, large-scale data set, rich in engineering behavior and city-level characteristics using lazy expressions and approximate statistics, as well as aggregated data at scale. We then combined … Read more