Відео

Hello friends, Can anyone recommend a solid, up-to-date training program(s) that cover different cloud infrastructure services specifically aimed at deploying solutions using LLM models of any kind? open source or close source? (Agnostic arbitrage approach) If you have any suggestions or experiences to share on the subject, I'd love to hear them! Ideal training courses should cover: The main cloud services (IaaS, PaaS, SaaS) Deploying and hosting open source LLMs Data and storage management for LLMs Optimizing performance and scalability Security and governance of LLM solutions.

I think the pre and post processing are key to get better results. What do you guys think 🤔?

Great video! good examples for prompting techniques..useful best practices. Looking forward to more content like this! 👍

its the wild west of ai .. who knows who will win, might be a new start up or nvidia in long term.. whoever is able to make a breakthrough in super efficient chipsets and software implementation and training speeds .. one day , perhape , everyone will be assigned an ai at birth to direct one's life..

nice video

Thanks. Each key type is so clear highly recommend watching

Thank you for this insightful video on headless data architecture and Apache Iceberg. The detailed explanation of how decoupling data storage from processing can enhance flexibility and efficiency is highly informative. it would be great to see a deep dive into real-world case studies showcasing successful implementations of headless data architecture. Excellent content! #DataManagement #ApacheIceberg #BigDataSolutions

thanks. explanation of each key type is so clear and insightful. Highly recommend watching #DataWarehousing #Analytics #BigData

Superb

thanks...good use cases and case studies..

don't agree AI Agents will be collaborators. these will lead to huge job loss. Bill Gates says _"To create a new app or service, you'll just tell your agent what you want." "If your friend just had surgery, your agent will offer to send flowers and be able to order them for you." "agents can capture what makes a tutor effective, they’ll unlock this supplemental instruction for everyone who wants it"_

What is the difference between LLM and Small language models ?

how about small language models?

GPT 4 is $30/$60 per 1mn tokens, but cheaper models with similar performance are just 15/30 cents per million tokens. Using the lower priced model reduces the total cost of processing wikipedia to US$ 900 vs. your estimate of US$ 360,000.

Totally agree to all the points. It will always help organisations to build their businesses well

Curious about the long-term impacts of these strategic shifts on AI's accessibility and innovation.

super informative thanks..now i know why there are only NVidia V100s in Asia with the hyperscalers

Good and relevant information on how to acquire skills essential for data engineering!

completely agree...LLM Apps need RAG & RAG need Knowledge Graph 👍

good information..👍Unlike other open MoE models like Mixtral and Grok-1, which use 8 experts and choose 2, DBRX uses 16 experts and selects 4 of them for any given input. This fine-grained approach provides a staggering ~65 times more possible combinations of experts, enhancing the model's overall quality and performance👍

super informative 👍 must watch for someone who wants to become a data engineer

thanks...good information about LLM implementation costs

I want to help promote your UA-cam channel organically

Wow Very Nice

Great insights on the risks and opportunities of Generative AI in fraud prevention. One advanced tactic is using AI-driven behavioral biometrics, which can uniquely identify individuals based on their interactions with devices, adding an extra layer of security beyond traditional methods. This is a game-changer in detecting sophisticated fraud attempts.

thanks..video is a good introduction to feature engineering and how they can be used to improve operational machine learning.

Generative AI will increase the accuracy and bring better results

good information for QA professions 👍must view

Bread waste can save so much carbon amazing

Transformers important topic for understanding llm

Good information on large language model

Chatgpt plug-ins amazing I had not played around with those..👍

Interesting to know why buildings is so important for decarbonisation..yes all smart buildings need to be netzero

Good to see how content consumption has changed and the power Is shifting away from the consumer to the platform providers..take back control 🙏

Good information on how retail waste management can be reduced..AI is not just being used by social media companies but also for reducing carbon footprint 👍

Data science is fast growing..good info on how to be part of the growth story

Relevant and useful content!

Nice short course 👍

Very insightful video. Sustainability is not just about preserving nature but safeguarding future generations

wonder which mode of entertainment would you rate as your favorite? book vs tv vs social media vs fast fashion social media

completely agree Netzero buildings are the future of sustainable cities. 38% carbon consumption by buildings...

Explained in a very simple language. Everyone from different backgrounds can understand the basic concept of Data modeling Process.

Good crash course on data modeling process

Thanks...this field is evolving at fast pace...good to know which jobs are- high paying but to have a sustained career passion is the key

This new area is really cool and helps solve problems in our everyday lives. AI and Generative AI are changing things a lot and will keep getting better.

Agree!!

Good info 🙏

Interesting quiz on transformers

yes its the passion for data that counts..

✋ 'Promo SM'