#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 💪

[aromantic-ghost-menace]

So... I think I've just finished writing a 7.7 or 7.8K words long chapter in 2-3 days.

What the fuck possessed me? Did I finally manage to build up a working writing routine for me?

Did suffering the fanfic writer curse in advance really payout and work?

Anyways, am currently editing my current stp truth lies AU chapter "The drowned Cage" there. Will archive locked post it then. Maybe put up a publically encrypted/enciphered version of the fic once I got Maddening Shackles fully written down and posted.

But breakfast first! Food.

[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!

[xploreitcorp5]

The Future of Java: Exploring Project Amber and Its Impact on Modern Java Development

1. Introduction to Project Amber and Java's Evolution

The world of software is all a-buzz with The Future of Java: Project Amber and What's Coming Next.Java, which has long been touted for its strength, is still updating itself with fresh projects such as Amber, which simplify coding and make it more expressive. If you're a seasoned programmer or embarking on a java course in Coimbatore, these developments provide a glimpse into a more compact, readable Java. Java development keeps pace with industry requirements and keeps students up-to-date. Project Amber is the driving force behind this interesting future.

2. What Is Project Amber?

Project Amber is an open-source project by Oracle aimed at speeding up Java language improvements. It targets small, productivity-oriented features such as local-variable type inference and pattern matching. These enhancements ease difficult code, making Java more appealing to newcomers and experts alike. For someone taking a Java Full Stack Developer Course in Coimbatore, it is imperative to know about Project Amber since it reflects the direction Java is moving. The Future of Java: Project Amber and What's Coming Next  starts with learning these new features.

3. Important Features Introduced by Project Amber

Project Amber introduces strong features like `var` for local variables, records, sealed classes, switch expressions, and pattern matching. These improvements ease the syntax of Java, which makes coding easier for developers to create clean, readable code. Whether one is pursuing a java course in Coimbatore or self-learning, these updates assist one in keeping up with new development trends. Knowing these developments is important for anyone looking into The Future of Java: Project Amber and What's Coming Next and wanting to remain competitive in the job market.

4. Benefits for Java Learners and Developers

With Amber's features, code has less boilerplate code and more effective logic. This is particularly useful for students in a java training in Coimbatore course. New syntax improvements lower the learning curve and raise the speed of development, making Java more novice-friendly. As you read The Future of Java: Project Amber and What's Coming Next, you'll find that Java is keeping pace with contemporary programming patterns to enable new and seasoned developers alike to achieve faster and create applications more quickly.

5. Project Amber and Enterprise Development

Big apps, particularly finance and health apps, are based on Java. Project Amber strengthens Java's position in enterprise applications by delivering compact syntax without jeopardizing safety. For a Java Full Stack Developer Course in Coimbatore student, that means you will be taught to develop scalable, high-performance apps. Studying The Future of Java: Project Amber and What's Coming Next helps you know how Java's language-level enhancements extend to enterprise-level systems.

6. Java in the Job Market: Why Amber Matters

Industry professionals hire developers who grasp contemporary Java and features added by Project Amber. Attending a java course in Coimbatore and becoming familiar with records, pattern matching, and switch expressions provides a huge edge. These are not only esoteric tools—they're now present in actual job interviews and assignments. The Future of Java: Project Amber and What's Coming Next is industry-oriented, and getting command over it enhances your employability in the competitive world.

7. How Amber Facilitates Full Stack Java Development

Project Amber's efficient coding features enable smoother full stack development. When you're dealing with backend (Java) as well as frontend (for instance, Angular or React), every enhancement in productivity counts. A Java Full Stack Developer Course in Coimbatore covers these efficiencies as a part of developing solid apps. The Future of Java: Project Amber and What's Coming Next applies not just to core Java—it fits comfortably into the entire development stack, so Amber is an important learning item for contemporary full stack developers. 

8. The Role of Java Training in Embracing the Future

Amber Understanding needs structured learning, so java training in Coimbatore becomes a necessity. Having the new features explained by teachers, students understand complicated matters with ease. Training sessions now offer revised modules on Amber's new additions, readying students for current Java development. The Future of Java: Project Amber and What's Coming Next already forms a part of Java certification material, so the time to initiate or continue your learning process through structured Java training is now.

9. Preparing for Java's Next Decade

Java is not only living; it's flourishing with careful improvements such as those from Project Amber. While other languages wax and wane in popularity, Java is still essential in enterprise environments, mobile applications, and cloud computing. If you're taking a Java Full Stack Developer Course in Coimbatore or a java course in Coimbatore, you're on board with one of the most future-resistant programming languages. The Future of Java: Project Amber and What's Coming Next highlights how the current students can create the future of tech.

10. Conclusion: Xploreit Corp Pioneers

For professionals and students committed to learning The Future of Java: Project Amber and What's Coming Next, the right training institute is crucial. With world-class curriculum and live projects, Xplore It Corp is one of the best institutions for java training in Coimbatore, providing specialized streams like the Java Full Stack Developer Course in Coimbatore. Stay ahead of the curve in the tech industry by learning Java the intelligent way—with current skills, industry knowledge, and personalized mentorship.

[ailatestupdate]

Apple AI Vibe Coder