Miracle Software Systems, Inc’s Post

How AutoML is changing the landscape of ML development  https://lnkd.in/dxRGpJzy #AI #bigdata #datascience #deeplearning #machinelearning #LLM #neuralnetworks

Need help unlocking the power of Machine Learning? Machine learning can revolutionize your business, but finding the right partner can be tough. Don't worry, we've got you covered! Check out our latest blog for the Top 10 Machine Learning Consulting Companies of 2024 to find the perfect fit and take your projects to the next level. [Link Below] https://buff.ly/3Ktqd6W #MachineLearning #AI #Consulting #artificialintelligence #artificialintelligenceai #artificialintelligencenow #artificialintelligencetechnology

Are you struggling to streamline your AI/ML lifecycle? Look no further than MLOps! MLOps incorporates machine learning operations into every stage of the process, from data collection to model training, deployment, monitoring, and optimization. With MLOps, you can enjoy a seamless and efficient flow of operations. Don't miss out on the benefits of MLOps! #MLOps #AI #MachineLearning #DataScience

🚀 AI is revolutionizing our industry - are you keeping up? Every day, I'm amazed by the rapid advancements in AI technology. From chatbots that sound human to algorithms that predict market trends, AI is changing the game for businesses big and small. Last week, I saw a demo of an AI tool that could design entire marketing campaigns in minutes. It was mind-blowing! 🤯 These innovations aren't just cool - they're reshaping how we work, compete, and grow. Companies embracing AI are seeing huge boosts in efficiency and creativity. Curious about how AI could transform your business? We're at the forefront of this exciting shift. 👉 Visit our website to learn more about the latest AI trends and how they can give your company an edge. Let's ride this wave of innovation together! https://lnkd.in/dD5gSfjb #AI #AIInnovation #IndustryInsights #FutureOfBusiness #anyapi

🚀 Looking to enhance your AI capabilities? Dive into how Snowflake Cortex AI makes it use to use pre-trained models, but also to fine-tune models using your own datasets. Whether you're a seasoned data scientist or new to AI, the seamless integration with Mistral AI accelerates the development of robust AI solutions. Read the full blog here: https://lnkd.in/gCM6nERs #AI #MachineLearning #Snowflake #Mistral #DataScience

How Cloud-Based Machine Learning Platforms Streamline AI Development #ArtificialIntelligence #MachineLearningLifeCycle #AIdevelopment #Dataanalyze #SmartSystems

What a great session it was. 😍 Practical Use Cases is what people want to know about GenAI. Luckily, the session was recorded and can be watched on your own time. Cloudsoft also has a live lab session on the 14th of May: https://lnkd.in/eykd-FR5 and a Exec Roundtable on the same day : https://lnkd.in/eUAbTSVx Make sure you don't miss it. Personal thanks to the panelist for sharing their insights. #ai #genai #generativeai #webinar #tech #artificialintelligence

In this post, we share the panel discussion with Susan Walsh, Aled Sage, Arjun Srinivasan and Jon Cooke who shared some important points: 1) Generative #AI refers to deep learning models that can generate high-quality text, images, and other content based on the data they were trained on. 2) The "generative" part of AI is only a small part - there are other "doing words" you can put in front of AI to build a mental model of capabilities, for example, predict, extract, transcribe, recognise, sort... 3) There are "parameters" that can be used to tune a foundation model ("FM") such as Temperature and Top P - depending on whether you want to write a Dan Brown novel or optimise a supply chain down to the nearest dollar. 4) The transformer architecture - the breakthrough that unlocked a lot of these foundational models and #LLMs - is compute intensive and we see it as a stepping stone to something smaller, more refined, less compute hungry. 5) Generative AI has 6 practical use cases in the mainstream as of today: Product Design, Marketing Content, Code Generation, Employee Assistance, Digital Transcription, Data Augmentation. 6) Adoption of Generative AI in the enterprise mainstream is an individualistic choice, not some magical cultural revolution or digital transformation initiative. The winning mindset has 2 underpinning beliefs: I am curious about what can make me more productive OR I'm scared about being left behind. 7) Stumbling blocks: you cannot forensically rely on its outputs, you cannot gather enough high quality training data relevant to the specific tasks and finally, what vendors pump into your ears is lightyears away from organisations being 'culturally ready'. 8) It is important for leaders to have a policy, even if it's just a bullet point memo, that says what your people can or cannot do and how this policy will evolve with better governance. Your people are copy/pasting stuff into #ChatGPT so put some guardrails in place e.g. "Don't put sensitive things into the chatbot; do play around with it." 9) Amazon Web Services (AWS) are building "Foundation Models" - the key concept being that you'll build on top of their managed services to build applications that are augmented by AI services within your existing cloud environment. Train something specific? SageMaker. Get answers to questions? #AmazonQ. translate/extract/transcribe/recognise objects... they are there, they are getting better, they are cheap to prototype. Implementing Retrieval Augmented Generation (#RAG) techniques e.g. you need to look something up from an external knowledge source is good. What to do next? A) Watch the Webinar: https://lnkd.in/gJyhswdk B) Sign up to Live Lab (14/5): https://lnkd.in/gYhays_E C) Join the Exec Roundtable (14/5): https://lnkd.in/gYBQhNYZ

Document AI’s Custom Extractor is now powered by generative AI and is generally available (GA)! This highly differentiated product helps our customers parse data from structured and unstructured documents in minutes as opposed to weeks and months #googlecloud #google #duetai

Document AI’s Custom Extractor is now powered by generative AI and is generally available (GA)! This highly differentiated product helps our customers parse data from structured and unstructured documents in minutes as opposed to weeks and months