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Hackernoon

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I Built an Open-Source ETL to Prepare Data for RAG

I've built an open source ETL framework called CocoIndex to prepare data for RAG.
CocoIndex simplifies the creation and maintenance of data indexing pipelines for AI applications such as semantic search and retrieval-augmented generation.
Key features include data flow programming, support for custom logic, and incremental updates.
The CocoIndex GitHub repository and a video tutorial are available for reference and getting started.

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24 Likes

Marktechpost

299

HPC-AI Tech Releases Open-Sora 2.0: An Open-Source SOTA-Level Video Generation Model Trained for Just $200K

HPC-AI Tech introduces Open-Sora 2.0, a cost-efficient AI video generation model.
Open-Sora 2.0 reduces training costs by 5 to 10 times compared to competing models.
Key features of Open-Sora 2.0 include a hierarchical data filtering system, an advanced autoencoder, and a hybrid transformer framework.
The model outperforms proprietary and open-source competitors in certain evaluation metrics.

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Marktechpost

Allen Institute for AI (AI2) Releases OLMo 32B: A Fully Open Model to Beat GPT 3.5 and GPT-4o mini on a Suite of Multi-Skill Benchmarks

The Allen Institute for AI (AI2) has introduced OLMo 2 32B, a fully open model surpassing GPT-3.5 Turbo and GPT-4o mini on multi-skill benchmarks.
OLMo 2 32B has 32 billion parameters and achieved performance levels comparable to leading open-weight models with less computational resources.
It demonstrated impressive results on tasks like MMLU, MATH, and IFEval, showcasing its versatility in linguistic challenges.
By promoting openness and collaboration, AI2 enables researchers worldwide to build upon this work and contributes to the evolving landscape of AI.

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Medium

286

Image Credit: Medium

Build Your Local AI: From Zero to a Custom ChatGPT Interface with Ollama & Open WebUI

Large Language Models (LLMs) like OpenAI, Anthropic, or Perplexity have limitations, leading to a need for locally running customizable LLM instances.
This guide walks through setting up a local AI environment using the Ollama framework and the OpenWebUI interface.
Ollama offers access to numerous open-source models, with phi4-mini being a recommended model to start with.
Installing Ollama requires downloading and unzipping the package, while OpenWebUI can be installed using pip.
OpenWebUI provides features like web search integration, code interpreter for Python execution, and customization of AI behavior.
Web search on OpenWebUI supports engines like Google PSE and Brave Search, enhancing the AI's capabilities.
The code interpreter allows the AI to execute Python code within the chat interface, enabling dynamic programming tasks.
Customization options in Open WebUI allow users to personalize their AI's behavior for specific use cases.
By following this guide, users can create a robust local AI environment comparable to commercial platforms, all under their control.
The setup process takes about an hour and grants users a powerful AI tool for tasks like data analysis, programming, and mathematics.
Future articles in the series will explore advanced features and functionalities of the local AI setup.

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VentureBeat

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OpenAI’s strategic gambit: The Agents SDK and why it changes everything for enterprise AI

OpenAI released a comprehensive agent-building platform, reshaping enterprise AI with its Agents SDK.
The platform consolidates a complex API ecosystem into a unified, production-ready framework for enterprise AI teams.
OpenAI acknowledges the need for outside expertise to address AI agent reliability issues, reflecting a strategic shift.
The announcement brings key capabilities into a unified framework, simplifying AI agent development for enterprises.
Enterprise AI adoption can benefit from OpenAI's API format and SDK, offering streamlined agent development.
OpenAI's SDK supports integration with models from other providers, providing enterprises with flexibility.
The release challenges database companies with built-in retrieval-augmented generation tools and citation capabilities.
OpenAI's comprehensive stack with tools and orchestration features aims to capture enterprise value and drive agent development.
Enterprise decision-makers must consider the advantages of OpenAI's platform while being mindful of potential vendor lock-in.
By offering pricing based on usage and enabling multi-agent workflows, OpenAI positions itself at the forefront of enterprise AI agent development.

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Mjtsai

186

Rewriting the TypeScript Compiler in Go

Anders Hejlsberg has announced the rewrite of the TypeScript compiler in Go.
The native port of the TypeScript compiler and tools aims to improve editor startup time and reduce build times significantly.
The new implementation is expected to provide a command-line typechecking solution by mid-2025, with a feature-complete solution for project builds and a language service by the end of the year.
The native language service is claimed to improve project load time in editor scenarios by 8x.

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Amazon

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Image Credit: Amazon

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

StarTree provides a managed alternative to Apache Pinot on AWS, offering benefits for real-time analytics use cases.
StarTree, founded by Kishore Gopalakrishna, handles over 1 billion queries per week and over 1 million events per second.
Compared to open-source Pinot, StarTree streamlines infrastructure management for real-time analytics, allowing organizations to focus on insights.
StarTree offers enterprise-grade security with RBAC, SOC 2 compliance, encryption, and SSO capabilities.
StarTree automates data ingestion at scale, supporting various connectors to seamlessly ingest and model data for optimized query performance.
StarTree's tiered storage system transitions data efficiently between hot and cold storage, optimizing both performance and cost.
StarTree enhances scalability with off-heap upserts, supporting companies like Amberdata in handling high event workloads.
StarTree customer success stories include Sovrn, Amberdata, and Nubank, showcasing improved query performance, reduced SLA times, and cost savings.
StarTree offers flexible deployment options, including hosted SaaS for operational ease or customer hosted SaaS for more control.
Organizations can choose between self-managed Pinot or StarTree based on their preferences for infrastructure management and operational ease.

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Medium

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Vexa — The Self-Hosted, Open-Source Meeting Assistant Your Compliance Team Won’t Block

Vexa is an open-source meeting assistant designed for on-premise, secure deployments.
It helps organizations capture meeting insights without sending data outside the firewall.
Vexa offers a tailored solution for industries with compliance concerns.
The open-source core can be customized and additional commercial features are available for advanced capabilities.

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Nvidia

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Image Credit: Nvidia

Gaming Goodness: NVIDIA Reveals Latest Neural Rendering and AI Advancements Supercharging Game Development at GDC 2025

NVIDIA showcases latest advancements in neural rendering, NVIDIA RTX, and digital human technologies at GDC 2025 to empower game developers.
Key announcements at GDC include neural rendering advancements with Unreal Engine 5, DLSS 4 available in 100+ games, and a Half-Life 2 RTX demo.
NVIDIA RTX Neural Shaders enable photorealistic worlds by training tiny neural networks within shaders to enhance game performance, image quality, and immersion.
The RTX Kit introduces AI-enhanced, ray-traced games with massive complexity and photorealistic characters, expanding with Microsoft DirectX and Unreal Engine 5 support.
DLSS 4 is now in over 100 games, featuring Multi Frame Generation for up to 8x frame rate improvement on GeForce RTX 50 Series, enhancing visual experiences.
Half-Life 2 RTX, a remaster of Half-Life 2, launches a demo showcasing ray tracing and DLSS 4 on March 18, made possible by the RTX Remix platform for modders.
NVIDIA ACE technologies introduce AI-driven autonomous game characters in titles like inZOI and NARAKA: BLADEPOINT MOBILE PC VERSION, enhancing player immersion.
InZOI features smart NPCs and launches on March 28 with NVIDIA ACE-based characters, while NARAKA: BLADEPOINT offers ACE-powered teammates starting March 27.
Developers can utilize NVIDIA ACE technologies and join over 30,000 modders using RTX Remix to create ray-traced remasters of classic games for millions of gamers to enjoy.
Overall, NVIDIA's advancements at GDC 2025 are set to revolutionize game development with AI, neural rendering, and RTX technologies for enhanced gaming experiences.

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VentureBeat

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Image Credit: VentureBeat

Nous Research just launched an API that gives developers access to AI models that OpenAI and Anthropic won’t build

Nous Research has launched a new Inference API to make its language models more accessible to developers and researchers.
The API release features models like Hermes 3 Llama 70B and DeepHermes-3 8B Preview.
Developers can access the API documentation for integration options and sign up through the waitlist system for access.
The waitlist strategy manages demand and highlights Nous Research's infrastructure constraints and marketing tactics.
The API is based on OpenAI's API design pattern and follows the release of Nous Chat in November.
Nous Research aims to balance idealism and practicality in transitioning to commercial offerings while maintaining open-source values.
The API launch represents a key step in Nous Research's evolution towards a sustainable business model.
Nous Research emphasizes individual agency and user alignment in contrast to tightly controlled AI systems.
Despite being marketed as “unrestricted,” Nous's models have guardrails against harmful outputs and responsible deployment.
The API signifies an evolution in Nous Research's business model, balancing revenue generation with open-source principles.

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Arstechnica

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Image Credit: Arstechnica

Google’s Gemma 3 is an open source, single-GPU AI with a 128K context window

Google's Gemma 3 is an open source AI model tuned for efficiency.
It is designed to run on a single GPU or AI accelerator.
Gemma 3 has an expanded context window of 128,000 tokens and is a multimodal model capable of processing text, images, and video.
Google has also introduced ShieldGemma 2, an image safety solution that can be integrated with Gemma to block unwanted images.

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15 Likes

TechCrunch

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Dapr’s microservices runtime now supports AI agents

The Dapr team has launched Dapr Agents, which provides developers with building blocks for building AI agents.
Dapr's core feature, virtual actors, serves as a lightweight way to run AI agents at scale with state.
Dapr Agents originated from the Floki project and brings the agent framework under the Dapr umbrella.
Dapr Agents currently supports popular model providers like AWS Bedrock, OpenAI, Anthropic, Mistral, and Hugging Face.

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25 Likes

TechCrunch

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Why Onyx thinks its open source solution will win enterprise search

Onyx is an open source enterprise search tool aimed at helping companies find the right internal information.
The platform can be set up in 30 minutes and connects to over 40 internal data sources.
Onyx's success can be attributed to their decision to open source the software, allowing for experimentation and avoiding lengthy sales cycles.
The company has attracted a $10 million seed round and plans to use the funds to hire staff and develop more premium features.

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Siliconangle

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Image Credit: Siliconangle

Sysdig report finds cloud security advancing with faster threat detection

Cloud security is evolving rapidly with faster threat detection, according to a report by Sysdig Inc.
Cloud attacks are now being detected, investigated, and mitigated within 10 minutes, with advanced tools allowing threat identification in as little as five seconds.
Machine identities are a growing concern, being 7.5 times riskier than human accounts and significantly increasing the attack surface for cybercriminals.
Open-source security adoption is on the rise, with tools like Falco surpassing 140 million downloads.

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Cloudblog

Image Credit: Cloudblog

How to deploy serverless AI with Gemma 3 on Cloud Run

Gemma 3 is a family of lightweight, open models built with cutting-edge technology.
Gemma 3 is designed for speed, portability, and cost-effective inference workloads.
Cloud Run is a serverless platform that allows easy deployment of Gemma 3 models.
Cloud Run and Gemma 3 offer a powerful, cost-effective, and scalable solution for deploying AI applications.

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