#Machine Learning Updates

[kariniai]

Amazon Bedrock and the Rise of Compound AI Systems

Introduction

Generative AI has become a shared C-Level priority with many enterprises setting goals in their annual statement and numerous press releases. As Generative AI is gaining traction, there is much anticipation around their evolving model performance capabilities. However, as developers increasingly move beyond Generative AI pilots, the trend is shifting to compound systems. The SOTA results often come from compound systems incorporating multiple components rather than relying solely on standalone models. A recent study by MIT Research has observed that 60% of LLM deployments in businesses incorporate some form of retrieval-augmented generation (RAG), with 30% utilizing multi-step chains or compound systems.

Rise of Compound Systems

A Compound AI System addresses AI tasks through multiple interconnected components, including several calls to different models, retrievers, or external tools. AI models are constantly improving, with scalability seemingly limitless. However, complex, multifaceted compound systems increasingly achieve the most advanced results. Combining the models with other components allows businesses to build dynamic systems that can address complex scenarios based on user queries at runtime, reduce model hallucinations, and increase user control and trust. Enterprises can design their compound systems based on their performance goals. E.g. In some applications, even the largest model may need to be more performant or too expensive. Still, an ensemble of smaller fine-tuned models augmented with optimized search and retrieve capabilities can give the best results. Github Copilot is an excellent example of this approach. While enterprises are making a shift in compounding AI systems, the emerging challenges are how to design, optimize & operate these systems. The compound systems consist of a data processing loop, query optimization loop, and operations management capabilities, and they can be independently optimized for better performance.

Karini AI Platform powered by AWS Gen AI for Compound AI Systems

AWS provides a broad set of Gen AI managed services such as Amazon Bedrock, Amazon SageMaker, and OpenSearch to build scalable generative AI applications. Amazon Bedrock is the most trusted and scalable fully managed service that offers a choice of high-performing foundation models from leading AI model providers and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Karini AI is a no-code Generative AI platform with a broad set of capabilities to build Compound AI systems purposefully built using AWS services to speed up production-grade application development. AWS customers can use best-of-breed capabilities to build production-grade RAG in a matter of minutes.

Data Processing Loop: Karini AI utilizes Amazon Textract and proprietary technologies to create LLM-ready data and provides built-in chunking algorithms. Customers can choose Amazon Bedrock hosted models or custom models hosted via Amazon SageMaker for chunking. Amazon OpenSearch delivers a secure and scalable vector store.

Query Optimization Loop: Karini AI employs the easy-to-use Prompt Playground to author, test, and compare the model performance of Bedrock-hosted models or custom models using Amazon SageMaker. Enterprises can leverage one of the many built-in chains, such as Q&A, summarization, classification, or Agentic workflows. Multiple ways are available to optimize retrieval using techniques such as query rewrite, query expansion, and context generation. Customers can also customize LLM-driven responses for greetings and follow-up questions.

Operations and Visibility: Karini AI provides built-in observability for tracing RAG chains and understanding low performing conversations. Copilot supports fine-grained feedback collection to gather user preferences and create instruction fine-tuning datasets. The built-in dashboards provide system performance and cost monitoring across model endpoints for Amazon Bedrock and SageMaker-hosted models. Karini AI provides enterprise connectors for significant number of data sources such as Amazon S3, Websites, Google Storage, Azure Storage, and Dropbox to unify data silos into a single vector store and also respects source system role-based access controls during serving.

Here is a quick end-2-end Karini AI Generative AI recipe powered by Amazon Bedrock models.

Conclusion:

Compound AI systems mark a significant advancement in AI technology by integrating various components to solve complex challenges that were once out of reach for traditional AI models. These systems are highly flexible, allowing for tailored responses and greater control over outputs. Karini AI’s advanced platform, coupled with Amazon Bedrock, enables the creation of sophisticated compound AI systems for any use case. By adopting these systems, businesses can enhance innovation, increase the quality and reliability of their AI solutions, and build stronger trust with their customers.

About Us: Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform. Contact: Jerome Mendell (404) 891-0255 sales@karini.ai https://www.karini.ai/

[esthyradler]

All my life I thought I never gonna use physics lessons and math for the rest of my life after I finish school, and now I'm here, reading about newton's laws just so I can put one in a comic for like one sentence...

[beaniebabie-pie]

Happy Homewarming!

here’s Eddie and Frank hangin out!!!! this is actually a super old piece from December, I just colored it this morning as a warm-up. good thing Welcome Home just recently entered its Christmas era so im not awfully late with this🙏🙏

click 4 better quality!!

EDIT- EDDIES ARM IS TOTALLY UNCOLORED IM SO SORRY I HAVE NO IDEA HOW I COULD HAVE MISSED THAT

[raptorstudiesstuff]

Life update -

Hi, sorry for being MIA for a while and I'll try to update here more frequently. Here's a general update of what I've been up to.

Changed my Tumblr name from studywithmeblr to raptorstudiesstuff. Changed my blog name as well. I don't feel comfortable putting my real name on my social media platforms so I'm going by 'Raptor' now.

💻 Finished the Machine Learning-2 and Unsupervised Learning module along with projects. Got a pretty good grade in both of them and my overall grade went up a bit.

📝 Started applying for data science internships and jobs but got rejected from most of the companies I applied to... 😬

I'll start applying again in a week or two with a new resume. Let me know any tips I can use to not get rejected. 😅

💻 Started SQL last week and really enjoying it. I did get a bad grade on an assignment though. Hope I can make up for it in the final quiz. 🤞

🏥 Work has been alright. We're a little less staffed than usual this week but I'm trying not to stress too much about it.

📖 Currently reading Discworld #1 - The Color of Magic. More than halfway through.

📺 Re-watched the Lord of The Rings movies and now I'm compelled to read the books or rewatch the Hobbit movies.

"There's good in this world, Mr Frodo, and it's worth fighting for." This scene had me in tears and I really needed to hear that..

📺 Watched the first 4 episodes of First Kill on Netflix and I don't know what I was doing to myself. The writing and dialogue is so cheesy and terrible. The acting is okay-ish. It's so bad that it turned out to be quite hilarious. Laughed the whole time.

🎧 Discovered a new (for me) song that I'm obsessed with right now - Mirrors by Justin Timberlake.

📷 Took some really cool pics on my camera..

Might start the 100 days productivity challenge soon as that is the only way I find myself to be consistent.

Peace ✌️

Raptor

PS. Please don't repost any of my pictures without permission.

[moastudiess]

07.12.2023~ Hello!! It’s been a long break, I’ve been enjoying my summer vacation and studying for a Network+ certification! Just today I started looking into potential research opportunities in ML and AI which I have absolutely zero experience in, but what better way to start than as a freshman haha

[astonmartingf]

When r u updating!

uhm to be honest, i have no idea when 😬

thank you for asking though !!!! because i am still writing in my drafts, maybe next week after my exams, i'm still trying to manage my schedule and now that i'm a month in, i already know the ropes, plus rn i'm assigned at the more busy parts of the laboratory and every shift makes me want to sleep immediately and prepare for the next shift but in a few weeks we will be rotating and finally moving to the less busy areas so i might have more time to write and actually post my drafts n e ways!!!! here are my drafts which you might see that i've written it over a month ago but that's what internship does to me so 💪

[geekupdated]

▸ Top 3 industries that are most prone to AI automation are: office support, legal, and engineering.

▸ AI automation could impact up to 300 million jobs globally, and potentially result in a 7% increase in annual GDP.

(via Industries with the highest potential for AI (infographic))

[megarabane]

me: oh i'll use the mass fic editor to add "do not consent to ai usage" tags to all my shit

ao3: your edits will replace all existing values

me, no reading comprehension: i know what that means!

(narrator: they did not know what that means)

me instantly: FUCK

...

and now i have to. manually. by hand. redo all my tags. on. on every. every single. every single fic. i've ever posted. i'm.

oh boy. if it. isn't the consequences of. of my actions.

[thatfaerieprincess]

if one more well meaning relative asks me if i have done any drawing recently i will start screaming and flip a table 🤪🙃

[techpaathshala]

Artificial Intelligence (AI):

Definition: AI refers to the broader concept of machines being able to carry out tasks in a way that we would consider “smart.” It encompasses various technologies that allow machines to mimic human intelligence.

Scope: Includes machine learning, natural language processing, robotics, and more.

Machine Learning (ML):

Definition: ML is a subset of AI that focuses on the ability of machines to learn from data, identify patterns, and make decisions with minimal human intervention.

Scope: Primarily involves algorithms and statistical models that enable computers to perform specific tasks without using explicit instructions.

[babitim-in-fandoms]

Hello! Alice here, so there's some differences in the answers if you've noticed, there's only going to be backgrounds for DDLC but nothing else. I did this because I'm lazy and don't feel like looking up backgrounds and it's easier to answer stuff when I don't have wifi. Especially when school starts, I'll be able to work on stuff when I'm at school then I can post it when I get home.

Also...

I AM SO SORRY- I HAD TO COOK DINNER, THEN THE DAMN WIFI WENT OUT SO I COULDN'T DO ANYTHING!!! I'M SORRY IT TOOK SO LONG!!!!

[ratcorner]

I have GOT to get gayer

[mobio-solutions]

Python 3.12.0 is on the horizon, promising groundbreaking features! Expect robust error handling, precise typing, and major performance boosts. This release isn’t just an update; it’s a leap for developer productivity and innovation. What features excite you the most? Join the conversation!

[in4newz]

A New Study Shows AI Will Cheat If It Thinks It's Going To Loose

A study conducted by Palisade Research and shared with Time, evaluated seven state-of-the-art AI models to see how they would behave when faced with defeat at the virtual hands of Stockfish, a skilled chess bot.

[smarttechdata]

smarttechdata

I am alexpaul working for smarttechdata as PR consultant. With more than 6 year’s experience in PR and Digital Industry, helping teams to achieve goals by streamlining the process.

[beeben]

My boss being niceys to me im working from home the first day after being sicky (still sicky) and theyre letting me just do emails i bet the phones are wack today but my ears keep popping and im beyond tired (fear of sleep last night i think i was suffocating and i had a really fucked up dream i woke up gasping n dizzy) man im just sitting here looking at emails of ppl being like "i own a company and i have 4 machines that i rent and dont use and never paid off why am i being sent to collections" how are you employed. Like id be embarrassed