This page will be updated regularly with love and professionalism. All the information here is based purely on personal experiences and use case scenarios, as each case is different, results may vary over time. Always, always remember to lower any potential risks with risk management when using any tools. For instance, only using data that are open source or collected with consent ethically to train the AI model and more.

If you or your company's tech team are searching for an update on Artificial Intelligence, Lablab.ai is the ideal place to start! Their hackathons are currently free, and they have superb mentors, boilerplates, live streaming with Q&A sessions and so much more. I started off with programming languages in C, C++ and Python, but they helped me to clear out my doubts and provided me with a clear direction. I was able to master the skills in two to three months. You may only need a shorter time if you're a more proficient learner with more time devoted to it.

What's more, the people I encountered there were exceptionally talented and so kind! I just wouldn't think of how incredible people can come up with an awesome project within a weekend using the AI tools until I experienced it myself. For the projects that are successfully submitted and picked, we could even join communities that discuss about further updates such as but not limited to the MVP, the talent recruiting process, the funding and so much more specifically for products and services using AI.

CLASSIFY

I've personally used this classifier to classify the data related to the symptoms of mental health disorders matching certain mental health treatments or therapies suitable to the lovely person..

Typical use cases:

1. Writing words to tell people what things are (product descriptions)

2. Writing words to tell stories (blog posts)

3. Writing words to make people want to buy things (ad creative, article summarization, spelling, grammar correction, and entity extraction)

EMBED

Typical use cases:

1. Finding things you want to know (Semantic search)

2. Understanding what something is about (Topic modeling)

3. Helping you find things you might like (Recommendations)

Now, you probably see me using the AI tools from Cohere in most hackathons and wonder why. Well, I chose to join Cohere AI hackathons on purpose. Let me show you the incredibly cool Sandbox and other features that cut the time in half for us to deploy an application as a prototype! When I tried it for the first time, I already knew for sure that I must know more about it. The community is also great, with Colab Friday to have demo showcase with the founders of Cohere! They're consistently giving support, giving out swags, tokens and cash prizes to the outstanding developers using the tools from Cohere. Humble yet outstanding and caring team.

GENERATIVE

My team used Generative AI to create a persona as a CBT-bot to provide context dependent answers. It's something I personally see as a feature that beats the old style of AI only knowing to respond to certain choices made by the others to avoid messing up with complicated input. But this, it gets better with any inputs from my current observations..

Typical use cases:

1. Understanding what someone means (Intent recognition)

2. Understanding the topic of a conversation or text (Topic classification)

3. Understanding how someone feels (Sentiment analysis)

4. Checking if something is appropriate (Content moderation)

5. Helping people find the right person to help them (Support ticket routing)