Dear Elvis, I can confirm that you are AI's daily voice, bringing the latest news and training about AI. keep going!!

How good is for coding? if I ask it to code a certain project for me, is it better than others model?

I understand your interest in the "Deep Research" feature demonstrated in the video you shared . As of now, OpenAI's Deep Research is available to ChatGPT Pro users in the United States, with plans to expand access to Plus, Team, and Enterprise users in the future

Sehr gut

Professor se ainda tiver o chat usado ou prompt que iniciou será uma grande alegria dar uma olhada e prender com o senhor! Forte abraço!

You are only telling, what these roles make, but NOT why they are doing it so and when to use which. What would you think and how would you say, if you watch a video that leaves the most important questions open. Yes. right, 100 points, you would not trust this source, because it is only creating open loops and not really helping. And that is the truth.

Does 100 prompts mean 100 different conversations or 100 times you ask it a question off that model

In your opinion, how does this compare with Gemini deep research that has been around for a while

I can't wait for them to roll this out to Plus users. It will be a very fun tool to experiment with. Even with its shortcomings, it's an exciting sign of things to come.

Are you paying $200?

Dear Elvis, what if the website is dynamic and the changes occur frequently? is there any solution?

Can HasData's web scraping API integrate with LLMs for more advanced data extraction like in this video?

Qween2-5 so powerfull ai make picture and video😂😂

Does it have the mobile application

Output tokens? Will this give short responses like every other llm?

Guess what the largest position in Michael Burry's (featured in The Big Short movie) portfolio is. Yes, it's Alibaba.

But I can't get 7b models to do well on 1k tokens lol

That's awesome!!!

love it, thanks

Thank you, excellent video. I am intensively using Qwen since a year and it gets better and better with every new release. And let us do not forget, that the DeepSeek R1 open-source models are also based on Qwen.

Learn how to build with LLMs, RAG, and AI Agents in my new courses here: dair-ai.thinkific.com/ Use code KZbin20 to get an extra 20% off.

Thanks for the review. How is it compared to windsurf?

You could make it request quotes from different suppliers. Let's say you need a new car insurance or something?

Can it control other programs other than the web?

Ask him to trade forex

ask it to play a game of GeoGuessr

Please comment on what specific tasks you would like me to try. I will be doing another video on different use cases and I will be taking notes on you suggestions.

How far can you go while taking control? Can you just start something completely different like watching a youtube video? Effectively using it as a virtual machine?

I wish you would have shown it actually doing data entry. I want it to receive form data and then enter it into s spreadsheet :D Most of your use cases can be done faster just using regular GPT with web search capabilities.

Nice tool. What if a paper contains images/graphs or other unstructured format?

Learn how to build with LLMs, RAG, and AI Agents in my new courses here: dair-ai.thinkific.com/ Use code KZbin20 to get an extra 20% off.

Learn how to build with AI in my new courses here: dair-ai.thinkific.com/ Use code KZbin20 to get an extra 20% off. Limited-time offer!

❤

please make a video for tool/function calling agents with Deepseek-R1

I'll be watching this one very closely. Thanks for the video

Someone at some point is going to generate an executable and run it. I wonder what could go wrong.

Would you say it's better than o1 when it comes to your personal testing?

Hi Elvis, I'm in your online community (dair-ai).. loving your amazing job.. \o/

Hello! I have a question about Anthropic's prompt caching that I couldn't find in the documentation. Is it possible to share a cache between different prompts? For example, uploading a file in Prompt 1 and then accessing that same cached file in Prompt 2?

Hi please i am hoping an reply for my question. is it possible to fine tune a model using cloud service given and export the fine tuned model to deploy locally. If yes how can it be done

se la vie

Huge thanks please cover other techniques

Huge thanks

not support jetbrains

Great explanation with the multi-turn caching! Appreciate it keep up the great content🔥🤝

There is a 1/5 probability that by choosing a random answer, you will choose answer 3. Moreover, the only options that stand out after minimal filtering are 3 and 4 (the shortest or the longest candle), the rest are negligible, I believe that even ChatGPT wouldn't choose 1, 2, or 5. So, the real probability of finding the correct answer, even for the most primitive language model, I would say is somewhere around 50%. Out of 100 cases, in 50 of them, even the most primitive model would probably say it's 3. So, the answer is not impressive. A coin, if you flip it, would know to choose candle number 3 in 50% of the cases. But that doesn't mean the coin is good at math or that it's smart. So the fact that it answered with 3 is not at all impressive to me. What is impressive is the following logic, which seems to make sense and be correct.

So clear that it is easy to remember, thank you bro!