in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
Meta's new large language model Llama 3 is out. The good news is that you can use this open-source model for free in your own projects.
Llama 3 8B is better than Gemma 7B and Mistral 7B. Llama 3 70B is better than Gemini Pro and Claude 3 Sonnet.
For more information: llama.meta.com/docs/get-started
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The most used cloud platform is Amazon Web Services (AWS). What is AWS's generative AI service?
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Amazon Web Services (AWS) is a great cloud platform for AI and machine learning projects.
So which AWS service is used to develop, train, and deploy cloud-based machine learning applications?
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OpenAI's first-ever developer conference. Here are my some notes from the conference:
1- ChatGPT will now accept not only text but also audio and images.
2- A new GPT-4 Turbo model has been developed.
This model supports tokens up to 128 thousand lengths. This corresponds to approximately 300 pages of a standard book. Previously, this number was 8 thousand, and in some cases 32 thousand.
3- The model will be able to output in JSON format.
4- GPT-4 Turbo has been updated with information until April 2023.
5- GPT-4 Turbo is 3x cheaper than GPT-4 for prompt tokens and 2x for completion tokens. One thousand prompt tokens are $0.01 and one thousand completion tokens are $0.03.
6- Seed parameter was added to fix randomness in the outputs.
7- OpenAI introduced a new Copyright Shield to protect developers and users from potential copyright infringement claims.
In case of a copyright dispute, OpenAI will intervene. If you face legal claims for copyright infringement, OpenAI will pay the costs incurred.
8- The partnership between OpenAI and Microsoft will continue.
9- DALL-E 3: You can integrate DALL-3 into your applications with the Images API by entering the name dall-e-3.
10- Text-to-speech (TTS): You can create human-quality speech with the text-to-speech API. The price is $0.015 per 1000 characters.
11- A new feature called Assistants API has been developed. With this API, you can add agent features to your own applications.
I'm curious about your thoughts on these new announcements.
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For data analysis, which Python library is commonly used to easily filter, group, and transform data?
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For working with large language models, the Transformers library developed by Hugging Face is king.
So what language is Transformers designed in?
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*** Python Quiz ***
What does the following code print out?
>>> languages = ["Python", "JavaScript", "C", "Java", "C++"]
>>> founded = [1991, 1995, 1972]
>>> print(list(zip(numbers, letters)))
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