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Hugging Face Releases Sentence Transformers v3.3.0: A Major Leap for NLP Efficiency

Hugging Face has released Sentence Transformers v3.3.0, a major update with significant advancements especially for efficiency and usability for a broader audience.
The latest version is packed with features that address performance bottlenecks, enhance usability, and offer new training paradigms.
This latest version has a 4.5x speedup for CPU inference by integrating OpenVINO’s int8 static quantization.
The integration of OpenVINO Post-Training Static Quantization allows models to run 4.78 times faster on CPUs with no performance drop.
The introduction of training with prompts improves the performance in retrieval tasks by 0.66% to 0.90% without any additional computational overhead.
PEFT integration allows for more scalability in training and deploying models reducing memory requirements.
The ability to evaluate on NanoBEIR adds an extra layer of assurance that the models trained using v3.3.0 can generalize well across diverse tasks.
The release shows Hugging Face’s commitment to enhancing computational efficiency, making these models more accessible across a wide range of use cases.
This update ticks all the right boxes for developers, ensuring models are not just powerful but also efficient, versatile, and easier to integrate into various deployment scenarios.

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TechCrunch

254

Image Credit: TechCrunch

Open source projects draw equity-free funding from corporates, startups, and even VCs

Various sector players are stepping up with funding initiatives to support open-source tech including startups, corporations, and venture capital firms.
While some open source software has the potential to be commercialised, many projects are difficult to monetise.
Funding programmes include reactive initiatives such as the $30m pledge launched in response to the Log4Shell security flaw, and proactive offerings driven by various industry giants.
Sequoia Capital has launched an open source fellowship to support project maintainers with equity-free capital of up to $100,000 for up to 12 months, while Andreessen Horowitz launched an open source AI grant program in 2020.
Chatbot Arena and vLLM are two projects selected for Sequoia’s fellowship. Both were birthed out of UC Berkeley’s Sky Computing Lab and have PhD researchers working on them. These were funded by Sequoia at $100K each for this year.
Founder of AI Factory, Eno Reyes, has confirmed that his company uses Chatbot Arena to keep track of the top LLM options.
Sentry, a developer tooling unicorn, has launched the Open Source Pledge to encourage companies to get involved in donating to open source projects.
The Open Source Pledge calls for contributions of at least $2,000 per year for each developer on staff.
Sentry has committed $750,000 this year and has over two dozen members signed up to the Pledge at the time of writing.
Accel partner Dan Levine said, The open source community, particularly on the demand side, needs to reassess its strategies and make more informed decisions to support critical projects".

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Medium

216

Image Credit: Medium

Bridging the Gap: Hugging Face Transformers and GitHub for Cross-Framework NLP

The Hugging Face Transformers library and GitHub have revolutionized NLP by democratizing access to transformer models.
The Hugging Face Model Hub on GitHub serves as a central repository for sharing and collaborating on these models.
Two case studies showcase the flexibility and ease of using Hugging Face Transformers in PyTorch and TensorFlow for text generation and summarization.
The framework-agnostic nature of the library and the collaborative features of GitHub promote accessible and community-driven NLP development.

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Medium

304

Image Credit: Medium

Mastering Git (Part 2): Going Beyond the Basics

In this article, we’ll take you beyond the basics and dive into advanced Git.
Git’s branching mechanism allows you to work on different features or fixes in isolation, without disrupting the main codebase.
There are two main ways to create and switch branches in Git.
Once you’ve made your changes on a branch, it’s time to merge them back into the main branch.
Merge conflicts are like the “awkward dinner conversations” of Git.
When you’re working solo or collaborating, remote repositories are your best friend.
Rebasing is a powerful tool, but it’s like the “nuclear option” for commit history — use with caution!
Ever realized you made a small mistake right after committing? Don’t worry — you don’t have to create a whole new commit to fix it. Git lets you amend the last commit.
Git is powerful, but some commands can be long and cumbersome. Instead of typing out the full command every time, you can alias them to something shorter and more memorable.
Working with Git in a team environment requires some extra care to keep everything organized.

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Schneier

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AI Industry is Trying to Subvert the Definition of “Open Source AI”

The Open Source Initiative has published its definition of “open source AI,” which allows for secret training data and mechanisms.
Many “open source” AI models are open source in name only, and industry players want both corporate secrecy and the “open source” label.
There is a need for a public AI option, and real open source is necessary for that.
The exclusion of some training data is allowed in fields where data cannot be legally shared, such as medical AI.

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Analyticsindiamag

107

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IBM Commits to Transparency with Granite 3.0 LLM

IBM has released new open-source model, Granite 3.0. The datasets that are used for training are clearly disclosed by IBM. The language models are trained on Blue Vela, powered entirely by renewable energy.
Recently, Stanford’s Foundation Model Transparency Index report stated that IBM’s Granite models achieved a 100% score in transparency and openness of a model test.
Big tech companies including Google, Apple, and OpenAI remain tight-lipped about the data used to train their LLMs.
IBM’s approach is to increase transparency by default. It can help businesses overcome the scepticism and negative ‘black box’ connotation attached to LLMs.
By providing transparent models, IBM is likely to receive more recognition for playing the good guy in the world of AI.
Deep integration of AI into technology is something that people will choose on how to use or if they want to use it.
Granite models aim to make open source the winner in the world of the internet. People encountering good samaritans may get motivation to contribute to open source datasets.
IBM’s generative AI book of business is up by more than $1 billion quarter to quarter.
IBM's transparency can help businesses spend more time looking for solutions to their problems rather worry about the reliability of models they’re using.
IBM’s training datasets are mainly open-source, which would help in research, development and enhance these datasets.

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Marktechpost

314

Arcee AI Releases Arcee-VyLinh: A Powerful 3B Vietnamese Small Language Model

Arcee AI has released Arcee-VyLinh, a powerful 3 billion parameter Vietnamese small language model (SLM) based on the Qwen2.5-3B architecture.
Arcee-VyLinh outperforms models of similar size and even some larger competitors in various natural language processing tasks.
It employs a unique multi-stage training process to enhance language understanding while maintaining efficiency.
Arcee-VyLinh demonstrates exceptional performance with a significantly smaller parameter count compared to its competitors.

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Hackernoon

165

Image Credit: Hackernoon

Embracing the Open-Source Revolution: A New Pathway for MSP Growth

Open-source software is now a core strategy for MSPs looking to add unique value, reduce client costs, and deliver secure, customizable solutions.
The shift toward open-source technology is gaining momentum due to several key trends such as security and compliance, cost savings and licensing flexibility and data sovereignty and control.
Open-source solutions allow MSPs to implement self-hosted, on-premises alternatives that keep data fully under client control.
Smaller MSPs may worry about supporting open-source solutions without the formal support of a major software vendor, but many open-source projects offer dedicated support tiers, and experienced MSPs can build their own internal support structure.
New tools like AI and automation are emerging that leverage open-source machine learning and automation frameworks, creating powerful opportunities for MSPs to offer predictive services.
MSPs should position themselves now to capitalize on the core emerging trends. Embracing hybrid solutions enables MSPs to deliver flexible, customized services that best meet client needs.
Open-source presents an invaluable opportunity for MSPs to differentiate themselves, offer competitive pricing, and deliver adaptable, secure solutions.
Dr. Doug Milburn is a long-time serial entrepreneur and innovator with a PhD in mechanical engineering at the University of Waterloo.
Tom Lawrence, founder of Lawrence Systems, has built a distinguished career in IT by turning his lifelong love of technology into a comprehensive service and educational platform.
Tom partners with CNWR on consulting projects and devotes himself to producing educational content, hosting podcasts, and speaking publicly about tech innovations and best practices.

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VentureBeat

331

‘Unrestricted’ AI group Nous Research launches first chatbot — with guardrails

AI research group Nous Research has launched its first user-facing chatbot called Nous Chat.
The chatbot provides access to its large language model, Hermes 3-70B, in a familiar format.
Nous Chat offers suggested prompts and serves up quick answers with source citations.
While it has some guardrails, researchers have already found ways to bypass restrictions.

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Hackernoon

165

Image Credit: Hackernoon

BTC.COM Reshapes To Open-Source Computing Power Platform

BTC.COM officially launches an open-source computing power platform.
The platform aims to support developers and computing power providers in promoting a decentralized ecosystem.
It serves as a bridge for computing power suppliers to achieve efficient management and flexible trading.
The platform provides a free trading environment for on-demand access to computing power.

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Silicon

Image Credit: Silicon

Mozilla Foundation Confirms Layoffs, Eliminates Advocacy Division

Mozilla Foundation has confirmed layoffs, cutting 30% of its staff.
The Advocacy Division and Global Programs are no longer part of Mozilla Foundation's structure.
The layoffs are aimed at increasing agility and focus on a more open and equitable technical future.
Mozilla Foundation states that advocacy for a free and open internet remains a core part of their mission.

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Medium

287

Thursday Morning: Building a Simple Web Browser in Python: A Journey of Learning and Passion

The author built a web browser as a practical project to challenge themselves.
The project involved setting up the main window with a URL bar, adding navigation functionality, and enabling page rendering.
Debugging import errors and setting up the virtual environment were some of the challenges faced.
Completing the project served as a reminder that building something is the best way to improve in programming.

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Mjtsai

379

Swift Format in Xcode 16

In Xcode 16, Apple introduced the ability to format Swift files using Swift Format.
The tool is called swift-format and it comes with Xcode 16, so no additional installation is required.
Using the Editor -> Structure -> Format File option, users can fix indentation, whitespace, and split long function calls.
This feature provides convenience to users who prefer having a built-in formatting tool in Xcode.

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Medium

Image Credit: Medium

Basics of OAuth2.0 with Keycloak — introduction and use cases

OAuth2.0 is a protocol for managing authentication and authorization.
Keycloak is an open-source tool that supports OAuth2.0 and OpenID Connect.
OAuth2.0 uses access tokens for secure resource access.
Keycloak allows configuration of client and authentication methods.

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Nvidia

296

Image Credit: Nvidia

Hugging Face and NVIDIA to Accelerate Open-Source AI Robotics Research and Development

Hugging Face and NVIDIA have announced a collaboration to accelerate robotics research and development.
The collaboration aims to bring together their open-source robotics communities to drive advances in various industries.
Hugging Face's LeRobot platform and NVIDIA's AI and robotics technology will enable researchers and developers to access open-source frameworks for robot training, simulation, and inference.
The collaboration will streamline the development process and create a data flywheel for the robotics community.

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