Choosing the Right Approach for Your ResearchEvery data project starts with a fundamental question: where will the data come from? The answer shapes everything that follows. Choose the wrong collection method, and you might end up with biased samples, …
NVIDIA has announced the release of Nemotron-Cascade 2, an open-weight 30B Mixture-of-Experts (MoE) model with 3B activated parameters. The model focuses on maximizing ‘intelligence density,’ delivering advanced reasoning capabilities at a fraction of the parameter scale used by frontier models. Nemotron-Cascade 2 is the second open-weight LLM to achieve Gold Medal-level performance in the 2025 […]
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In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but the data ingestion pipeline. For software developers, converting complex PDFs into a format that an LLM can reason over remains a high-latency, often expensive task. LlamaIndex has recently introduced LiteParse, an open-source, […]
The post LlamaIndex Releases LiteParse: A CLI and TypeScript-Native Library for Spatial PDF Parsing in AI Agent Workflows appeared first on MarkTechPost.
Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents to interact directly with the Google Colab environment. This integration moves beyond simple code generation by providing agents with programmatic access to create, modify, and execute Python code within cloud-hosted Jupyter notebooks. This represents a […]
The post Google Colab Now Has an Open-Source MCP (Model Context Protocol) Server: Use Colab Runtimes with GPUs from Any Local AI Agent appeared first on MarkTechPost.
How to know if your changes actually work — paired t-test, Cohen’s d, and a reusable experiment framework built locally with OllamaContinue reading on Towards AI »
Photo by authorHow I built a molecular similarity search system using ChemBERTa, RDKit, and a vector database, and what I learned along the way.Why I Wanted to Do ThisI have been spending a lot of time lately experimenting with vector databases and emb…
During the weekend, I scrolled through Twitter to see what was happening in the AI community. Google has announced its first native…Continue reading on Towards AI »
In this tutorial, we explore how to solve differential equations and build neural differential equation models using the Diffrax library. We begin by setting up a clean computational environment and installing the required scientific computing libraries such as JAX, Diffrax, Equinox, and Optax. We then demonstrate how to solve ordinary differential equations using adaptive solvers […]
The post A Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX appeared first on MarkTechPost.
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While Transformer-based architectures remain the standard, their quadratic computational complexity and linear memory requirements create significant deployment bottlenecks. A team of researchers from Carnegie Mellon University (CMU), Princeton University, Together […]
The post Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency appeared first on MarkTechPost.
LoRA (Low-Rank Adaptation)Continue reading on Towards AI »