Open Source News & Articles on Techminis

A naukri.com initiative

New

Home

Open Source News

Pyimagesearch

245

Image Credit: Pyimagesearch

Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

In this tutorial, we will learn how to build an engaging Gradio chatbot powered by Llama 3.2 and Ollama.
Gradio is an open-source Python library that enables developers to create user-friendly and interactive web applications effortlessly.
Ollama is an open-source framework that enables developers to run large language models (LLMs) like Llama 3.2 Vision locally on their machines.
Llama 3.2 represents a significant advancement in large language models (LLMs), introducing multimodal capabilities that enable the processing of both text and images.
The app.py script is the driver of the multimodal chatbot application. It integrates the Chatbot class from chatbot.py with the Gradio Blocks interface to provide an interactive user interface.
To follow this guide, you need to have the following Python packages installed: ollama==0.3.3, pillow==11.0.0 (PIL), and gradio==5.5.0.
The code is modularized across three key files: utils.py, chatbot.py, and app.py. Each file has a specific purpose, making the implementation extensible and easy to understand.
The result was a sophisticated chatbot capable of generating detailed, concise, or creative responses based on user preferences while maintaining conversation history.
This project showcased the seamless integration of Gradio, Llama 3.2 Vision, and Ollama’s API, offering developers a practical framework for creating advanced multimodal AI applications.
In conclusion, this tutorial explains how to build deep learning chatbot with practical examples and detailed walkthrough.

Read Full Article

14 Likes

Siliconangle

318

Image Credit: Siliconangle

Sam Altman pledges more openness as OpenAI works towards AGI

OpenAI CEO, Sam Altman, has claimed that his company intends to broadly distribute the benefits of achieving artificial general intelligence, giving everyone a “compute budget”. Altman has sought “early intervention” to ensure that the balance of power between capital and labour does not become too disrupted. OpenAI may be in talks over a $40bn funding round, just months after raising $6.6bn. Altman believes cheap access to the technology will increase as AI technology gains increases, and it becomes increasingly accessed by everyone, with millions of hyperscale AI systems that can tackle problems 'in every field of knowledge work'.
Altman has assured that he does not believe AGI-level systems will be the ones providing the biggest new ideas, but that he expects such systems to greatly enhance human innovation as they allow people to leverage artificial general intelligence to fulfil their goals and expand creativity. He also confirmed that the company would make major decisions to maintain safety if and when it creates an AGI-level system.
Many of the systems created by OpenAI have been kept under wraps so far and it now seems that the company will be adopting some open-source processes in a bid to be more open about its AI systems.
OpenAI plans to prevent AGI systems from being used by authoritarian governments to “control their population through mass surveillance” and forestall the “loss of autonomy”.
Altman’s plan for the company will be focused primarily on individual empowerment as it works to achieve the near-total distribution of the benefits of artificial general intelligence, Altman added.
OpenAI no longer sees its path as being purely not-for-profit, as it now aims to keep over $100bn in annual revenue by 2029.
The rise of Chinese AI outfit DeepSeek Limited indicates that powerful AI being developed may become more affordable in the future, though Altman reiterated that investments will need to be huge in order to achieve AGI.
Although an AGI-level system may cause job losses in certain sectors, its real value will be in running such systems at enormous scales and distributing broad benefits across society.
OpenAI's effort to democratise AGI makes it likely that the company will have to adopt a more open and transparent approach about AI technology. Altman has set a tone that will help OpenAI meet its current AI research demands.
Altman envisions a future in which AI manages problems “in every field of knowledge work”. Although the development of such ideas is still in the early stages, and many unproven and experimental theories are being tried every day, it is possible that OpenAI may become one of the leaders of AGI research in the future.

Read Full Article

19 Likes

Siliconangle

306

Image Credit: Siliconangle

Sam Altman pledges more openness as OpenAI works toward AGI

Sam Altman, the CEO of OpenAI, has set out his plans for ensuring everyone on the planet has access to artificial general intelligence (AGI) to nurture creative resources. Part of the plan is to give everyone a “compute budget”, an investment in something like cryptocurrency that will rise in value, to distribute the benefits of AGI across the globe. Altman believes such systems will need millions of hyperscale AI structures that can tackle every field of knowledge work but warns the costs are huge, even though the cost of using them falls around 10 times with each 12-month period.
OpenAI is already in talks to raise $40bn after it received $6.6bn. Altman said OpenAI plans to change its mission from the original aims of being non-profit to a for-profit company that hopes to achieve $100bn in annual revenues by 2029.
As OpenAI moves rapidly towards AGI-level systems, Altman said difficult decisions will have to be made on safety, which will include some unpopular limitations. This will have to include more openness about OpenAI’s AI systems despite the group being described as historically being “on the wrong side of history” in terms of open-source sharing.
Wider use of AGI-based systems could benefit society and boost the economy, but there are concerns that their introduction could also cause mass unemployment. Such systems require not only deployment at scale, but also heavy investment to ensure safety and development.
The historical progress of technological advancement has proven that most health and economic metrics get better in the long-term, but there is no proof that equality will be included in this progress, Altman pointed out. Capital could quickly become more powerful than labour, he warned.
AGI is defined by Altman as being 'a system that can tackle increasingly complex problems, at human level, in many fields.' He indicated that we are very close to achieving it, but also stressed the role of human supervision and guidance to avoid any possible disruption.
Once AGI systems are launched at an enormous scale, the value will be realised, according to Altman. Such systems will need heavy sums of investment, however, which is why OpenAI is reportedly talking to investors about raising another $40bn (three months after raising $6.6bn).
OpenAI has partnered with firms like Oracle to provide $500bn on data centres through President Trump’s Project Stargate. Altman expects the systems used by large and powerful AI structures to be great at certain things, but bad at others. As such, AI should be used to help individual members of society attain greater power rather than cradle authoritarian control.
Altman said that adopting an approach focussed on helping individuals will almost certainly result in the firm having to be more open about its AI systems.
Chinese AI startup DeepSeek, among others, supports the argument that developing and training powerful AI systems may become more affordable. However, Altman warns that heavy investment is necessary to achieve AGI.

Read Full Article

18 Likes

Marktechpost

Kyutai Releases Hibiki: A 2.7B Real-Time Speech-to-Speech and Speech-to-Text Translation with Near-Human Quality and Voice Transfer

Kyutai has developed Hibiki, a 2.7 billion-parameter decoder-only model for real-time speech-to-speech and speech-to-text translation.
Hibiki operates at a 12.5Hz framerate with a 2.2kbps bitrate and supports French-to-English translation while preserving voice characteristics.
The model employs contextual alignment and a neural audio codec for efficient translation generation and dynamic adjustment of translation delays.
Hibiki demonstrates strong performance in translation quality, speaker fidelity, and maintains a competitive latency, offering practical benefits for real-time speech translation.

Read Full Article

5 Likes

Hackaday

369

Image Credit: Hackaday

Software in Progress

Open source software is in a constant state of development, with bugs being worked on in public.
While some open-source projects like Inkscape or Blender are more mature, the majority are still in progress.
Users with the expectation of finished software may become frustrated with the ongoing development process.
Contributing to open-source projects and helping with bug-hunting is essential for their growth and improvement.

Read Full Article

22 Likes

Medium

136

Signal: A Privacy-Friendly choice!

Signal is primarily funded by donations, with a significant portion coming from Brian Acton.
Signal is diversifying its revenue through user donations and other funding sources.
Signal's design limits the data it can provide, making it different from other U.S. tech companies.
Signal retains significantly less metadata compared to other messaging apps.

Read Full Article

8 Likes

Medium

410

Image Credit: Medium

3 free alternatives to OpenAI’s Operator that you can’t afford to miss

Browser-Use: An open-source library for building AI agents that interact with browsers.
Self-Operating Computer: A framework for connecting to LLMs and using voice commands to trigger workflows.
HyperBrowser: A Python library for building intelligent agents that interact with browsers programmatically.
These three free alternatives to OpenAI's Operator can help developers build their own browser agents.

Read Full Article

24 Likes

Insider

232

Image Credit: Insider

The secretive world of Wall Street technology is opening up like never before

Finance firms have been shedding their conservative notions toward open source over the past few years, growing to become contributors to open source, not just consumers.
In 2024, financial services workers contributed more than 750,000 commits, or changes, to GitHub, one of the main platforms for hosting open-source projects.
One of the main upsides to leveraging open source is cost efficiency: sharing the burden of development while freeing up engineers to work on other tasks.
The rise of open source in cloud-native development is helping banks to speed up integrations and share data more easily with clients.
Companies are also open-sourcing platforms that were originally developed internally, from JPMorgan's design platform, Salt, to Morgan Stanley's Morphir platform and Citigroup's GitProxy risk and controls tool.
Blackstone is building an open-source library for its portfolio companies in the realm of data management, data engineering, and generative AI, with the aim of giving portfolio firms a head start on the engineering legwork and allowing the companies to pivot engineers to focus on more meaningful work.
Open source comes with risks, including licensing and the possibility for people to try to sneak in bad code that could lead to far-reaching cyberattacks.
Finance firms are even looking to bring the open-source approach to the latest technology frontier on Wall Street: AI.
The budding rivalry between DeepSeek and OpenAI has thrown a spotlight on open-source models versus proprietary approaches.
The Fintech Open Source Foundation (FINOS) has launched an AI readiness group that's designed to create a collaborative environment to develop frameworks and policies around generative AI. Companies such as Citi, Morgan Stanley, and the London Stock Exchange have joined the effort.

Read Full Article

14 Likes

Marktechpost

378

Prime Intellect Releases SYNTHETIC-1: An Open-Source Dataset Consisting of 1.4M Curated Tasks Spanning Math, Coding, Software Engineering, STEM, and Synthetic Code Understanding

Prime Intellect has introduced SYNTHETIC-1, an open-source dataset designed to provide verified reasoning traces in math, coding, and science.
SYNTHETIC-1 consists of 1.4 million structured tasks and verifiers, addressing the need for reliable and well-organized data for reasoning models.
The dataset includes math problems with symbolic verifiers, coding problems with unit tests, open-ended STEM questions with LLM evaluation, real-world software engineering tasks, and code output prediction tasks.
SYNTHETIC-1 aims to improve machine reasoning in math, coding, and science and encourages continuous collaboration and expansion for refining AI training resources.

Read Full Article

22 Likes

Insider

747

Image Credit: Insider

OpenAI challenger Mistral launches revamped AI life and work assistant

French AI startup Mistral has launched a revamped version of its AI assistant called 'le Chat'.
The tool is available for consumer and enterprise use cases and offers features like news access, document uploading, and project tracking.
Mistral plans to make 'le Chat' available for enterprises with custom models and through private business channels like Slack.
Mistral's AI assistant is open source and has gained traction in financial services, administrative, manufacturing, and education sectors.

Read Full Article

8 Likes

Medium

155

Image Credit: Medium

DeepSeek: The AI Game Changer Democratizing Artificial Intelligence

DeepSeek is an innovative AI model that aims to democratize AI development and accelerate innovation in the field.
The current AI development landscape is exclusive, requiring significant computational resources and financial backing, limiting the participation of smaller organizations and hindering diverse solutions.
DeepSeek utilizes Mixture of Experts (MoE) and Chain of Thought (CoT) prompting to make AI development more efficient, specialized, and transparent.
DeepSeek's commitment to open-source development allows researchers, developers, and organizations to freely access, study, and improve the model, leading to a collaborative and diverse AI development ecosystem.

Read Full Article

9 Likes

Siliconangle

Image Credit: Siliconangle

New LLM developed for under $50 outperforms OpenAI’s o1-preview

Researchers have developed a large language model named s1-32B, which can outperform OpenAI's o1-preview at a lower cost.
The s1-32B model exhibits test-time scaling and is the most sample-efficient reasoning model.
The researchers customized Qwen2.5-32B-Instruct using a dataset containing 1,000 prompts and AI-generated answers.
Using a machine learning method called budget forcing, s1-32B achieved up to 27% higher scores than OpenAI's LLM in math benchmarks.

Read Full Article

Siliconangle

443

Image Credit: Siliconangle

Mirantis open-sources k0rdent Kubernetes management platform

Mirantis Inc. has open-sourced k0rdent, a platform for managing Kubernetes clusters.
k0rdent provides a single pane of glass to manage Kubernetes clusters and acts as an IDP for internal developer platforms.
The platform is powered by three components: Cluster Manager, State Manager, and an observability tool.
k0rdent is designed to manage Kubernetes clusters deployed in various environments and supports multiple infrastructure types.

Read Full Article

26 Likes

Hackernoon

443

Image Credit: Hackernoon

Ditch the Phone Line and Try These 5 Free and Open-Source Platforms for Voice Calls Instead

VoIP (Voice over Internet Protocol) software enables video calls, messaging, and file sharing, making communication versatile. Open-source and free VoIP software alternatives are available, providing more autonomy, transparency, and control over privacy and security.
Mumble, launched in 2005, is a free and open-source voIP chat application. It was among the first VoIP tools that delivered low-latency voice communication and optimizes high-quality voice chats for various purposes.
Waterbus, launched in 2023, is a video conferencing app built on WebRTC and Flutter technologies. It supports anonymous access, screen sharing, encrypted chats, and end-to-end encrypted video calls.
qTox (Tox Chat) is a decentralized platform designed for private, secure communication with its primary goal of providing encrypted instant messaging, voice, and video calls without relying on centralized servers.
Revolt is a communication platform designed as a privacy-focused alternative to closed-source chat platforms, allowing users to connect with friends and communities while safeguarding conversations.
TeaSpeak is a voice communication platform providing a reliable way for users to connect with high-quality audio in real time. It offers an accessible solution for creating and managing private or community voice servers.
Kivach is an Obyte-based platform for cascading donations to Github projects. To donate cryptocurrency, you will need an Obyte wallet loaded with funds directly through the app using other cryptocurrencies like ETH, USDC, or WBTC.
Mumble, Waterbus, qTox (Tox Chat), Revolt, and TeaSpeak operate as community-driven projects, sustained through non-commercial efforts. Donations are voluntary, which cover operational costs and occasional expenses.
Supporting open-source VoIP software alternatives through Kivach ensures transparency for users as they have more autonomy, transparency, and control over privacy and security.
Donating to these projects ensures that they remain free, open, and independent from corporate influences while maintaining their fundamental principles of transparency, freedom, and security.

Read Full Article

26 Likes

Medium

411

Image Credit: Medium

Running DeepSeek-R1 Locally and Securely: A Complete Air-Gapped Setup Guide

Running DeepSeek-R1 Locally and Securely: A Complete Air-Gapped Setup Guide
This article provides a guide on how to run DeepSeek-R1 locally and securely in an air-gapped environment.
The guide includes hardware and software requirements, steps to clone the pre-packaged repository, and instructions for installing the DeepSeek model using the provided downloader tool.
The article also highlights the security and configuration features, such as GPU support, network and file system security, process security, and resource management, to ensure a robust and secure setup.

Read Full Article

24 Likes

For uninterrupted reading, download the app

Open Source News

Discover more