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Reddit – Dive into anything

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Fine-Tuning Llama 3.2 Vision

VLMs (Vision Language Models) are powerful AI architectures. Today, we use them for image captioning, scene understanding, and complex mathematical tasks. Large and proprietary models such as ChatGPT, Claude, and Gemini excel at tasks like converting equation images to raw LaTeX equations. However, smaller open-source models like Llama 3.2 Vision struggle, especially in 4-bit quantized format. In this article, we will tackle this use case. We will be fine-tuning Llama 3.2 Vision to convert mathematical equation images to raw LaTeX equations. Figure 1. Gradio demo after fine-tuning Llama 3.2 Vision for converting LaTeX images to equations. The primary aim of

AI Tools for Safer Kids’ Internet

The internet has become a vital space for children to learn, play, and connect, but it also exposes them to risks like cyberbullying, exploitation, and harmful content. In response, Google, OpenAI, Roblox, and Discord launched the Robust Open Online Safety Tools (ROOST) initiative in February 2025.¹ This nonprofit effort combines advanced AI tools and cross-industry collaboration to protect minors online. Key Takeaways Collaborative Framework: ROOST unites tech companies to combat child exploitation using AI-driven tools.¹ Real-Time Moderation: AI scans 4 billion text chats daily (Roblox) and 400,000 voice hours (Discord) to flag harmful content.² Parental Controls: Google’s Family Link app integrates AI to block explicit content and monitor screen time.³ Open-Source

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Fake BianLian ransom notes mailed to US CEOs in postal mail scam

Scammers are impersonating the BianLian ransomware gang in fake ransom notes sent to US companies via snail mail through the United States Postal Service. The fake ransom notes were first reported by Guidepoint Security today, with BleepingComputer later being sent a scan of the note from a CEO who received the same letter. The envelopes for these ransom notes claim to be from the “BIANLIAN Group” and have a return address located in an office building in Boston, Massachusets: BIANLIAN GROUP 24 FEDERAL ST, SUITE 100 BOSTON, MA 02110 In the letter shared with BleepingComputer, the envelope shows it was mailed

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

[2410.09230] Improving Semantic Understanding in Speech Language Models via Brain-tuning

[Submitted on 11 Oct 2024 (v1), last revised 4 Mar 2025 (this version, v3)] View a PDF of the paper titled Improving Semantic Understanding in Speech Language Models via Brain-tuning, by Omer Moussa and 2 other authors View PDF HTML (experimental) Abstract:Speech language models align with human brain responses to natural language to an impressive degree. However, current models rely heavily on low-level speech features, indicating they lack brain-relevant semantics which limits their utility as model organisms of semantic processing in the brain. In this work, we address this limitation by inducing brain-relevant bias directly into the models via fine-tuning

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Data Machina #261 – by Carlos

Generative AI + Time-Series Forecasting? Many world-class organisations are starting to invest in new GenAI+TS forecasting methods that involve for example: developing new specialised VAEs, using Vision-Language Models, pre-training the model with trillions of TS data points, or incorporating text embedding and tokenisation into the TS forecasting method. Checkout these 6 very recent, interesting papers that show the impressive, rapid evolution in this area. Re-programming LLMs for time-series modelling. This a great post about how researchers are trying to align the information gap between time series and natural language from every perspective of training a LLM. Re-programming a LLM for

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link