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THIS IS HOW YOU LEVEL UP YOUR RAG DATABASE (step by step) This workflow uses two platforms; Make.com and n8n. Make splits and cleans text (files, scraped web pages, transcriptions, etc) then let's AI apply tags and create a q&a chain. Then these text chunks (documents) are upserted to a Qdrant Vector Store using n8n native Langchain functions. The result? Pristine context-rich data chunks for superior retrieval. #ai #aiautomation #RAG

"Figma as we know it today won’t be here for much longer. Once your design library is connected to code and AI is smart enough to build ad-hoc interfaces on the fly, the designer's role as an intermediary becomes less important." Great reading: https://lnkd.in/eCwaHSHf by Fabricio Teixeira e Caio Braga Illustration by Fabio Benê #design #ai #artificialintelliegence #openai #designthinking

Our AI Assistant combines LLM capabilities with the power of our project-specific database. That means it can generate and refine SystemVerilog code with the accuracy of hand-written designs and answer many specific queries. You can ask it to "explain" or "optimize" code with insights rooted in the specifics of your work. The extra cost for our DVT IDE users is zero. Because everyone deserves to take advantage of this powerful technology! Learn more from this article ➡ https://lnkd.in/dvREVN4F #EDA #AI #DVT

ColPali simplifies and enhances information retrieval from complex, visually rich documents, transforming retrieval-augmented generation. By Bonnie Chase, thanks to Vespa.ai | #LLM #GenAI

the code generation is one of the function of the ai models. the claude sonnet tops the list I reviewed deepseek coder few weeks ago. it's available through api call, and I think is the best based upon price performance ratio, even though it shows up 2nd https://lnkd.in/gKiWHE54

I feel like an AI model junky. New models come out and I dive in to explore. Anthropic just released two new models Claude 3.5 Sonnet and Claude 3.5 Haiku. The new Sonnet model extends the ability in coding, which Sonnet has lead in already! Haiku gains the power of Claude 3 Opus but with more speed and lower cost. This is pretty exciting and I look forward to testing them out! #ai #models https://lnkd.in/g4rcYrY5

AI news of the day. New Claude models dropped. Benchmarks better than GPT-4o, but that's burying the lead. It's still experimental, but now can control your computer. Demos are WILD! Make sure you use two factor authentication on all your accounts. https://lnkd.in/g5k25gAx #ai #genai #claude #newscaryrisk #amazing

I'd like to introduce Seequence – the online tool that can help you prepare chronologies fast using generative AI. Preparing chronologies is a key part of a solicitor’s and barrister's role. For a long time, though, compiling chronologies has often been a tedious, time-consuming task. So, knowing what I know about the law, software development and the exceptional possibilities of generative AI, I decided to do something about it. After many, many hours of problem solving, software engineering and purpose driven design, today I am launching Seequence. In three steps, Seequence generates a draft chronology from PDFs you have uploaded, using generative AI. Importantly you’re still in control and the final product is your chronology. You can edit the chronology to suit your needs and preferences using intuitive editing tools, before finally downloading the chronology as a Word document. I’m keen to hear what you think. You can try out all of Seequence’s current features and download five chronologies for free. After that, the launch price is currently $5 a month for six months, and then either $20 a month or $200 a year. Generate chronologies in minutes - because you have better things to do than spend hours and hours compiling chronologies from scratch. Go to https://seequence.co/ A shout out to Tamsin Waterhouse, Nick Adams, Dr Anton Hughes, Melissa McGrath and Liam James for helping me get Seequence this far.

Enhance information retrieval from complex, visually rich documents with this new retrieval model. Read the latest article on The New Stack now! #RAG #LLM #GenerativeAI