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Hugging Face open-sources world’s smallest vision language model

Hugging Face has open-sourced SmolVLM-256M, the smallest vision language model.
SmolVLM-256M has a low parameter count, enabling it to run on devices with limited processing power.
The model supports WebGPU, allowing it to potentially run in browsers.
The model can answer questions about documents, describe videos, explain charts, and customize its output based on user prompts.

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Medium

331

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WildeWeb: Safety Improvement PoC using Continual Pretraining

A PoC to find out if soft skills datasets can improve model safety was created using the fine-web edu project
A combination of empathy, critical thinking, and intercultural fluency are the soft skills that need to be focused on to enable models to consider consequences of unsafe responses
The PoC was carried out on about 1M documents from FineWeb-Edu using torchtune to train a larger model- Llama-3.1-70B along with Llama 3.3 70B
A dataset containing 38.3k rows with scores and justification was created, which led to about 61M tokens of data
The resulting model was tested for safety benchmarking, a process that involves generating completions to partially written sentences with the help of LLMs. In this case, SALAD-Bench was used instead of Perspective API
The dataset consisted of questions that asked for advice on illegal, unsafe, or unethical actions. The safety classification score improved slightly from 0.57 to 0.609 with the use of Wildeweb-CPT model
The results showed a small jump in social awareness, which is good to see as it follows intuition; there was a small but noticeable drop in college_mathematics formal_logic
The author intends to improve the scoring prompt using human annotations, filter promotional texts, and run the full dataset on smaller models to see their impact
The findings show that using soft skills datasets can improve model safety and can be accessed by anyone interested in making language models safe for use.

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Siliconangle

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Sysdig extends Wireshark’s legacy with Stratoshark for cloud environments

Cloud-native application security firm Sysdig Inc. has launched Stratoshark, an open-source tool that extends Wireshark's network visibility into the cloud.
Stratoshark provides users with a standardized approach to analyze and troubleshoot cloud system calls and logs.
It leverages Falco libraries and plugins to combine deep cloud visibility with familiar Wireshark functionality.
Stratoshark is available for free download from Sysdig.

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Siliconangle

184

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CubeFS storage platform graduates from CNCF incubation

CubeFS, an open-source storage platform, has graduated from the Cloud Native Computing Foundation's incubation program.
CubeFS is already used by over 200 organizations to store 350 petabytes of data.
CubeFS is a distributed storage platform that supports artificial intelligence models and analytics tools.
The platform offers features like replicas and erasure coding for preventing data loss and includes performance optimizations like in-memory metadata storage and multilevel caching.

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Hackernoon

371

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The History of GitHub Awesome-Lists

Awesome lists are a series of open source GitHub projects that offer curated content around a specific topic that readers will find...awesome.
The concept of awesome lists started with “awesome-php”, which was launched on January 25, 2012.
Awesome lists have become so popular that GitHub displays “Awesome Lists” as one of the options in the mobile app Explore tab.
The initial traction and visibility of the awesome-list concept was thanks to the social and sharing nature of the Gists feature.
The real inflection point for awesome-list growth was the summer of 2014 as several new awesome-list GitHub projects were launched.
One of the interesting corollaries of awesome-list adoption was the challenge in maintaining them.
The word “awesome” captured the ethos of the awesome-list movement and solidified the key distinction between collection and curation.
Awesome lists are here to stay as an important part of GitHub culture.
Collectively, awesome projects have gained millions of GitHub stars and they have proven to be a valuable set of resources for the dev community and beyond.
The growth of the awesome-list trend highlights the value of thoughtful content curation, and emphasizes the collaborative nature of open source.

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Marktechpost

172

Plurai Introduces IntellAgent: An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System

Evaluating conversational AI systems powered by large language models (LLMs) presents a critical challenge in artificial intelligence.
Existing evaluation methods struggle to assess the capabilities of these systems in handling multi-turn dialogues, integrating domain-specific tools, and adhering to complex policy constraints.
To address these limitations, Plurai researchers have introduced IntellAgent, an open-source, multi-agent framework designed to automate the creation of diverse, policy-driven scenarios.
IntellAgent combines graph-based policy modeling, synthetic event generation, and interactive simulations to evaluate conversational AI agents holistically.

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Medium

Winter of Code

The author shares their journey of starting their open-source journey with dual-booting Linux and learning Ubuntu.
They then proceed to learn GitHub and familiarize themselves with Git Bash, while working on basic projects.
The author mentions working on projects like NOVA (a rocket simulator) and CurlNParse, where they learned various concepts and contributed code.
They express gratitude towards KOSS for hosting the Winter of Code program and providing a platform for open-source contributions and learning.

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Medium

18h

Why Ubuntu Stands Out in the Tech World: Open Source, APT, and File Systems

APT: The Power of the Command Line
One of Ubuntu's standout features is APT, a command-line tool that allows users to efficiently manage their software installations and updates.
File System: ext4 vs NTFS vs APFS
Ubuntu utilizes the ext4 file system, which offers improved reliability and performance compared to older file systems, making it a preferred choice in the Linux world.

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Medium

21h

249

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Taming the Beast in Google Colab: Running Llama 2 and Deepseek-r1:7b with Ollama

Ollama, created by software engineers Michael Chiang and Jeffrey Morgan, provides a solution to access large language models (LLMs) within cloud environments like Google Colab.
By simplifying downloading, managing, and running LLMs, Ollama democratizes access to cutting-edge AI technology.
Ollama can be used with the Llama 2 and Deepseek-r1:7b models within a LangChain application to explore their potential for various applications.
Running LLMs with Ollama in Google Colab offers advantages such as flexibility, control, and access to powerful hardware.

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Marktechpost

147

Meet EvaByte: An Open-Source 6.5B State-of-the-Art Tokenizer-Free Language Model Powered by EVA

Researchers propose EvaByte, an open-source 6.5B tokenizer-free language model powered by EVA.
EvaByte uses a byte-level processing strategy, eliminating the need for tokenization.
The model achieves competitive results with smaller datasets and faster decoding speeds.
EvaByte is suitable for multilingual and multimodal tasks, improving reliability and efficiency.

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Marktechpost

299

Snowflake AI Research Open-Sources SwiftKV: A Novel AI Approach that Reduces Inference Costs of Meta Llama LLMs up to 75% on Cortex AI

Snowflake AI Research introduces SwiftKV, a solution designed to enhance LLM inference throughput while reducing costs.
SwiftKV uses key-value caching techniques to reuse intermediate computations during inference, streamlining the process.
Benefits of SwiftKV include cost reduction, enhanced throughput, energy savings, and scalability for large-scale deployments.
Integration of SwiftKV with Meta's LLaMA models led to up to a 75% reduction in inference costs without compromising accuracy or performance.

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Medium

372

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The tech stack for building AI apps in 2025

Top 22 tools and open source frameworks for building AI apps have been introduced in this article.
An AI uses LLM to communicate with the outside world and obtain data.
AI agents can be reactive or proactive and can plan, make decisions and even get better over time.
Copilotkit provides an easy way to build in-app AI chatbots and AI agents.
LangChain is a popular LLM framework used by over 160k developers.
Aider helps code with voice and edit multiple files at once for complex requests.
Bolt, AgentOps, LangGraph and CrewAI are some of the popular frameworks for building AI applications.
Better Auth can be used for a simple yet proper authentication system for AI apps.
AutoGPT allows the creation and management of continuous AI agents.
Tavily and TanStack Query are useful for fetching and managing large datasets.
Rasa provides tools for building contextual assistants and chatbots for various platforms.
Visual Copilot is a Figma plugin that turns designs into clean, ready-to-use code.
Cursor is an AI code editor that understands and improves your coding style.

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Medium

Image Credit: Medium

Open Source: The Engine of Modern Software

When Linus Torvalds released Linux in 1991, he couldn’t have known it would become the foundation of modern computing.
Linux, an open-source operating system, powers 96.3% of the world’s top million web servers, Android phones, and scientific research supercomputers.
Open-source development is pragmatic and produces better software faster, as demonstrated by companies like Instagram, Netflix, Facebook, Google, and Microsoft.
Open-source software benefits from the collective effort of thousands of developers, leading to more robust and industry-standard solutions.

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Robotsblog

242

Image Credit: Robotsblog

OpenMoxie Release: Key Updates from Embodied

Embodied has launched OpenMoxie, a locally hosted solution for Moxie users.
Users must update their Moxie with the latest OTA update to use OpenMoxie.
Embodied has no new updates regarding the future of Moxie but is grateful for the community's support.
OpenMoxie allows users to maintain their connection with Moxie in a cloud-free environment.

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Medium

Image Credit: Medium

8 Open Source Projects Every PHP Developer Needs to Bookmark

The most popular PHP framework continues to innovate with AI-assisted development tools and modern features.
Enterprise-ready framework known for its reusable components and robust architecture.
The de facto standard for PHP testing, now with AI-powered test generation and parallel execution.
Essential dependency management tool that transformed PHP development.

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