AI/ML Digest | Issue 33

AI/ML Digest | Issue 33

Welcome to the latest edition of Innovations in AI/ML digest by Roosh AI Circle , where we will dive into the world of AI news.

Let's start the news journey with a list of the top events for our community:

Follow the links to learn more and apply for the event you are interested in the most or all of them, because why not? See you there!

Now, let's move on to the AI news?


1/10 ??? The AI realm leveled up with a fresh technique for Large Language Model (LLM) optimization.

Imagine taking a massive dataset, fine-tuning it, and then letting AI cherry-pick the cream of the crop before humans step in for a final polish. The result? A turbocharged LLM that's sharper than ever!

Read more: https://twitter.com/985810645357645824/status/1771853075126366405

2/10 ???? Memory isn't just for humans anymore! AI systems are getting a significant upgrade with a four-layer memory architecture.

Picture this: a memory lane with logs, raw chats, structured data, and even contextual snippets, all designed to boost AI's brainpower. It's like giving AI a library card to the world's information!

Learn more here: https://twitter.com/985810645357645824/status/1771720496544944335

3/10???? Efficiency is key, and the latest trend in LLMs is all about smart resource allocation.

Use a heavyweight like GPT-4 to break down problems, then pass the baton to a nimble model like Haiku to sprint to the finish line. It's like having a brainstorming giant and a task-running ninja in your AI toolkit!

Have a look: https://twitter.com/985810645357645824/status/1771157238796673163

4/10 ???? At Sakana AI, they're playing matchmaker with open-source models.

By using evolutionary techniques, they're blending models to create a supermodel of performance. With half a million open-source options out there, the possibilities are as vast as the ocean.

Check it out: https://twitter.com/985810645357645824/status/1771156642467385382

5/10 ??? Pythonistas, rejoice! Thunder has struck the PyTorch world.

This new compiler isn't just lightning-fast (hello, 40% speedup!), It's also a team player who works seamlessly with PyTorch. Imagine your AI training sessions with the speed of a cheetah on a caffeine rush.

GitHub: https://github.com/Lightning-AI/lightning-thunder

6/10 ???? Dora AI is here to revolutionize web development.

Creating a landing page becomes as easy as chatting with a friend. No coding, no fuss – describe your dream site, and voilà! It's like having a genie in your laptop, granting your website wishes.

Have a look: https://twitter.com/985810645357645824/status/1770483250433065356

7/10 ???? Knowledge graphs and agents are joining forces. Mindgraph and babyagi are leading the charge.

This dynamic duo is set to change the game in AI, intertwining vast data networks with intelligent agents. It's like the brain's neural network shaking hands with a digital detective.

Read more: https://twitter.com/985810645357645824/status/1770130281883922790

8/10 ????? Before ChatGPT took the world by storm, the pioneers had already combined LLMs and knowledge graphs.

This surge in intelligence is a testament to the relentless innovation behind the scenes. It's like watching a silent evolution suddenly erupt into a symphony of smart tech!

Essay: https://www.workingtheorys.com/p/before-the-crowd

9/10 ????? AI dubbing is hitting new heights with PipioHQ.

Their system can swap languages while perfectly keeping the original voice's tone and syncing lips. It's not just dubbing; it's a high-tech ventriloquist act breaking language barriers.

Try it here: https://t.co/pXKkuQpOpq

10/10 ???? Data quality is the unsung hero in extracting crystal-clear information from Tesla's filings.

Thanks to LlamaParse, we can sift through the data without any hallucinations. It's like having a truth lens that filters out the noise and focuses on the facts.

Read more: https://t.co/5nunyaZXSK


1/9 ?? The AI community is buzzing with excitement: the latest post received loads of positive feedback, sparking a brainstorm of fresh ideas ??

The focus: sharpness. It's all about fine-tuning the AI's inner workings, from defining core objectives to ensuring outputs that read like a novel.

Check it out: https://twitter.com/985810645357645824/status/1771720554870947889

2/9 ??? Over at the repository, there's been a facelift and a boost in functionality that's turning heads.

Not to mention, task delegation is smoother than silk, thanks to Claude's knack for acknowledging a job well done. Efficiency is the name of the game.

The text: https://pastebin.com/F4tMW8nQ

3/9 ?? Meet Claude Opus, the maestro of subagents, conducting a symphony culminating in a stellar drawing app.

This code isn't just smart; it's a systematic goal-achiever. Hats off to this orchestration wizardry in the AI realm.

Check it out: https://twitter.com/985810645357645824/status/1769917078176157704

4/9 ?? Simplifying RAG pipeline observability? It's a breeze with Langfuse integration.

Just two lines of code and voilà – tracing, prompt management, and evaluation are at your fingertips. Talk about a smooth monitoring experience.

Post: https://www.llamaindex.ai/blog/one-click-open-source-rag-observability-with-langfuse

Docs: https://docs.llamaindex.ai/en/stable/examples/callbacks/LangfuseCallbackHandler.html

Tweet: https://twitter.com/MarcKlingen/status/1769783369896690172

5/9 ?? Hot off the press! Sam Altman drops teasers about GPT-5, promising a quantum leap over its predecessor, GPT-4.

With the pace of innovation hitting warp speed, GPT-5's performance is set to soar. Don't blink, or you might miss it.

Read more: https://twitter.com/985810645357645824/status/1769769076325245128

6/9 ?? Introducing Maisa KPU – the game-changing AI Reasoning System is pushing the boundaries of what LLMs can do.

This Knowledge Processing Unit is unlocking new realms of reasoning, leaving limitations in the dust.

Check it out: https://twitter.com/985810645357645824/status/1768690240649380057

7/9 ??♂? Ever wondered about the 'walking' in WalkingRAG? Let's dive in and see how GPTs and Huggingface assistants do their thing.

The journey into AI's inner workings is just getting started.

Read the blog: https://huggingface.co/blog/hrishioa/retrieval-augmented-generation-2-walking

8/9 ?? Time series analysis just got a major upgrade with Chronos.

These new LLM-based models are changing the game by translating series into tokens for Hugging Face models to process— a true milestone moment for AI and machine learning.

Paper: https://arxiv.org/abs/2403.07815

GitHub: https://github.com/amazon-science/chronos-forecasting

9/9 ?? MarblismAI is taking the developer world by storm.

This revolutionary AI platform lets developers craft software by simply describing what they need. With 5,000 developers already on board, it's clear MarblismAI is moving towards something big. Cheers to the minds behind this innovation.

The website: https://www.ycombinator.com/launches/Kcl-marblism-generate-software-from-a-single-prompt


1/6 ?? Meet Claude 3's new sidekick: claude-investor.

This savvy investment analyst agent is here to shake up the financial sector by digging into financial data and news for key companies. It's got a knack for analyzing sentiment, spotting trends, and even ranking stocks based on their juicy investment potential and price targets. Open-source, ready-to-roll, claude-investor is a treasure trove for financial aficionados and stock market gurus.

GitHub: https://github.com/mshumer/gpt-investor

2/6 ?? There's a fresh learning rate schedule on the scene. With a linear warmup and a half-cycle cosine decay, it's fine-tuning and pretraining LLMs like a pro.

Check it out on GitHub and give your LLMs the training they deserve: https://github.com/rasbt/LLMs-from-scratch/blob/main/appendix-D/01_main-chapter-code/appendix-D.ipynb

3/6 ?? This morning, the financial language models faced off in a RAG pipeline showdown,

We had haiku, GPT-3.5 turbo, and command-r on the starting line. Haiku dashed ahead with speed, while command-r crossed the finish line with top-notch accuracy. What a race!

Anthropic Code: https://colab.research.google.com/gist/virattt/665fd002b0e9de87cd0ae0316d77f2ae/financial-rag-anthropic.ipynb

OpenAI code: https://colab.research.google.com/gist/virattt/ec33092fc2659cd3a77283c21b104029/financial-rag-openai.ipynb

Cohere code: https://colab.research.google.com/gist/virattt/87bdc112b4370ec383a6bea636789420/financial-rag-cohere.ipynb

4/6 ?? AnthropicAI's Claude-in-Sheets guide is a treasure map for those seeking to master simple and chained prompting techniques.

It's your go-to for long-form Q&A, extracting info, and keeping PII under wraps.

Here are the spreadsheets: https://docs.google.com/spreadsheets/d/1sUrBWO0u1-ZuQ8m5gt3-1N5PLR6r__UsRsB7WeySDQA/edit#gid=1362003017

5/6 ?? LlamaParse is not just another parser; it's a game-changer in GenAI technology.

With its advanced features, it's setting a new standard for helping LLMs understand complex documents. It's a parser that's ready to take on the world, and it's available to all.

Blog: https://www.llamaindex.ai/blog/launching-the-first-genai-native-document-parsing-platform

GitHub: https://github.com/run-llama/llama_parse

6/6 ???? Introducing Devin, the AI that's breaking the code ceiling.

This AI software engineer has not only nailed the SWE-Bench coding benchmark but also aced interviews at top AI firms and even completed projects on Upwork. Devin is not just a milestone; it's a giant leap for AI-kind.

Blog: https://www.cognition-labs.com/introducing-devin


1/9 ???? Nvidia is stepping into the healthcare game with AI nurses who are 90% more cost-effective and ace the bedside manner test.

Yet, this innovation has sparked a debate about the future of nursing jobs, as nursing holds a significant place in the American job landscape. Is this the dawn of a new era in healthcare?

Have a closer look: https://twitter.com/985810645357645824/status/1770485011789082635

2/9 ??? Dive into the fascinating world of LLM's intelligence, and you'll find a universe where vectors craft poetry.

Subtract "Mom" from "Mother". What do you get? "THE TERMINATION OF NEARLY ALL SACRED PLACES." It's a poetic exploration of latent space that's as intriguing as it sounds.

Read the thread: https://twitter.com/985810645357645824/status/1770484305816412638

3/9 ???? Remember when being a programmer was for 'nerds'? Fast forward from 1994, the landscape has dramatically changed.

From outsourcing fears to the rise of no-code platforms, the perception of programming has evolved in ways no one could have predicted.

Check it out: https://twitter.com/985810645357645824/status/1769018306554442238

4/9 ???? The AI community on GitHub is bustling.

A study of 845 generative AI repos with at least 500 stars each reveals the collaborative power of over 20,000 developers. This is a testament to the rapid growth and vibrancy of the AI industry.

Full data: https://huyenchip.com/2024/03/14/ai-oss.html

5/9 ???? Say goodbye to robotic voice machines. A new text-to-speech and speech-to-text API is setting records with its lightning-fast response time.

Under 250 ms to the first byte, latency means conversational AI applications are about to get much smoother.

GitHub: https://github.com/deepgram-devs/deepgram-conversational-demo

6/9 ???? Turning an Obsidian vault into a graph database for RAG? That's right!

Using the LLM mistral 7b locally, agents can now generate search terms from questions and retrieve linked notes for a richer context on related topics. It's like having a personal librarian for your data.

Have a look: https://twitter.com/985810645357645824/status/1767182259214299597

7/9 ????? Hold onto your seats because Optimum-NVIDIA has just unlocked a 28x faster inference on the NVIDIA platform.

With just a tweak of a line of code, users can now process a whopping 1,200 tokens per second. NVIDIA Ada's new float8 format powers this speed demon.

Check it out: https://twitter.com/985810645357645824/status/1767181990556536938

8/9 ???? RAG is taking AI-generated content to new heights, and a survey paper is here to guide us through its code, image, and audio applications.

Thanks to this thorough overview, I understand the taxonomy. RAG enhancements have always been.

Paper: https://arxiv.org/abs/2402.19473v1

9/9 ???? Meet Bland Web AI, the human-sounding AI that's ready to mingle with your websites, mobile apps, phone calls, video games, and even Apple Vision Pro.

It's versatility personified — or should we say, AI-ified?

Have a try: https://chat.bland.ai


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