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Prerequisites For Machine Learning

The Crazy Programmer

Machine Learning has rightly become one of the most popular technologies around and according to Artificial Intelligence (AI) researchers, every single thing ranging from our food, to our jobs, to the software we write will be affected by it. Prerequisites For Machine Learning. Statistics. Probability.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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OctoML raises $85M for it for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. The company also recently worked with Microsoft on a project about deploying video content moderation at scale.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Its Flash version enables the new “Live API” which allows streaming audio and video directly into Gemini. Veo 2: High-Quality Video Generation Veo 2 is now production-ready in the Gemini API and Vertex AI. BigFrames provides a Pythonic DataFrame and machine learning (ML) API powered by the BigQuery engine.

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Ex.co acquires video adtech company Cedato

TechCrunch

is announcing its very first acquisition — it’s buying Cedato , a video monetization startup founded in 2015. According to co-founder and CEO Tom Pachys, over the past year, he’s become convinced that artificial intelligence is “taking over everything we do.” Previously known as Playbuzz , Ex.co

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Audio and video segmentation provides a structured way to gather this detailed feedback, allowing models to learn through reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT). The path to creating effective AI models for audio and video generation presents several distinct challenges.

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