Calendar AI | Tutorial for Building Custom ChatGPT with Google and Notion Integrations
Author(s): Nikita Kiselov Originally published on Towards AI. Develop your personal time-management AI. Detailed guide about integrating GPTs with Google Calendar and Notion using custom actions. No third-party apps are required, and full control over API.Image generated by the DALLE U+007C Calendar …
Learn AI Together β Towards AI Community Newsletter #11
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! This week, I sat down with Tina Huang, the visionary behind the Lonely Octopus platform and a YouTube channel with over 600,000 subscribers. With her unique blend …
AI and the Written Word: Redefining Creativity in the Era of Assistance vs. Generation
Author(s): Dr Richard Matthews – Chief AI Officer RHEM Labs Originally published on Towards AI. The battle lines are drawn in the sand: on one side, advocates for AI-assisted creativity champion a future where technology elevates human expression; on the other, detractors …
![[Miqu-1β70b] Where does Miqu come from? Is it really Mistral-Medium?](https://i3.wp.com/miro.medium.com/v2/resize:fit:700/1*f38YyC4UmxMoRcfwjUeyog.png?w=700&resize=700,394&ssl=1 "[Miqu-1β70b] Where does Miqu come from? Is it really Mistral-Medium?")
[Miqu-1β70b] Where does Miqu come from? Is it really Mistral-Medium?
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. The reason this news has received so much attention is related to a mysterious model called βMiqu This video aims to be your comprehensive guide to Miqu-1β70b, Test Model, where Miqu-1β70b does come …
Network Graph Data Modeling β Solving Tic Tac Toe Without the Minimax Algorithm
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Here is how tic tac toe looks. In order for us to start using any kind of data logic on this, we need to identify the board location first. So, let us figure out …
The Harsh Reality of Being an ML Researcher
Author(s): Boris Meinardus Originally published on Towards AI. What you need to expect when entering the field of ML research. We all know that Machine Learning is the hottest thing to work on right now. And if you are a researcher, especially …
This AI newsletter is all you need #85
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, attention was on the emerging competition for OpenAIβs GPT-4 and GPTStore in the form of Googleβs Gemini Ultra and Hugging Faceβs Hugging …
Google Finally Challenges ChatGPT
Author(s): Ignacio de Gregorio Originally published on Towards AI. A turning point for AI? It finally happened. A few months after Google announced Gemini, its Gemini Pro online version has reached the podium of best models, surpassing some GPT-4 versions and coming …
My Experience with the Apple Vision Pro and Future Perspectives in Computer Vision and Healthcare
Author(s): Alberto Paderno Originally published on Towards AI. Just me and the Apple Vision Pro βIt was a rainy day in Palo Alto. The line in front of the Apple Store was interminable, and only a few strong-willed people could be persistent …
Decoding AI Beyond Buzzwords for Absolute Beginners 2024
Author(s): MΓ©lony Qin (aka cloudmelon) Originally published on Towards AI. Artificial intelligence (AI) has become one of the most fascinating areas in todayβs fast-paced world. We know that artificial intelligence can seem overwhelming in many ways, especially with so many buzzwords. In …
Attention Mechanism
Author(s): Dr Barak Or Originally published on Towards AI. Attention Mechanism Self Attention -concept At the heart of the Transformer model lies the attention mechanism, a pivotal innovation designed to address the fundamental challenge of learning long-range dependencies within sequence transduction tasks. …
H2O.aiβs Danube and The Case for Smaller, More Accessible AI Models
Author(s): Frederik Bussler Originally published on Towards AI. Photo by Agence Olloweb on Unsplash AI models have grown massively in size in recent years, with models like GPT-3 containing over 175 billion parameters (and an estimated 1 trillion in GPT-4). However, these …
![[Code Llama 70B🦙] It is One Step Away From Surpassing GPT-4](https://i0.wp.com/miro.medium.com/v2/resize:fit:700/1*VbCCJPI8eYdUVUmq24b8MQ.png?w=700&resize=700,394&ssl=1 "[Code Llama 70B🦙] It is One Step Away From Surpassing GPT-4")
[Code Llama 70B🦙] It is One Step Away From Surpassing GPT-4
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. When one thinks about the development of artificial intelligence models, the two names that initially come to mind are OpenAI and, perhaps, Google. However, they are not the only ones. In this Post, …
How to Detect the Trend in the Time Series Data and Detrend in Python
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Photo by Polly Alexandra on Unsplash Before choosing any time series forecasting model, it is very important to detect the trend, seasonality, or cycle in the data. Half the job is to understand …
Learn AI Together β Towards AI Community Newsletter #10
Author(s): Towards AI Editorial Team Originally published on Towards AI. This week, I had a fantastic discussion with Mariam Brian, an amazing artist and CEO of Holo Art. This episode is perfect for those curious about how AI is not just a …
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