""" Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows on a large number of websites, replacing brittle or unreliable automation solutions. """ https://github.com/skyvern-ai/skyvern

Hi! 🖐️ My name is Diae. I’m new to the community and just starting my journey in AI. If anyone else is new or interested, would you be open to creating a group chat where we can support each other, share questions or problems, and stay motivated? This way, we can learn and grow together! Like the post if you interested.😊

ChatGPT can now search the web in a much better way than before. You can get fast, timely answers with links to relevant web sources, which you would have previously needed to go to a search engine for. This blends the benefits of a natural language interface with the value of up-to-date sports scores, news, stock quotes, and more. ChatGPT will choose to search the web based on what you ask, or you can manually choose to search by clicking the web search icon. https://openai.com/index/introducing-chatgpt-search/

Despite being here since January, I haven't done much progress these past months due to several reasons. But now I'm kind of back on track and planning a new approach on my future on work and life. In my new route I have plans of leaving my actual job by August next year. By then I'd like to have completed a decent part of the course and have an idea of how long could it take to finish it and be ready to start searching jobs on the sector. I might be able to go for a few months without a salary but it's important not to run out of funds if I have to start freelancing. So, long story short, how long may it take to do the full course and have a decent grip of all the knowledge taught? What may increase or decrease the time? Is it possible to determine? Am I asking an unsolvable question? Thank you all in advance.

Wondering if anyone can explain something to me. I am going through the Introduction to LangChain and looking at this page and see what llm models can be used https://python.langchain.com/docs/integrations/llms/ for example my preferred model is here OllamaLLM-langchain-ollama. On this page https://python.langchain.com/docs/tutorials I see some interesting things that I want to work with Build a Simple LLM Application with LCEL Build a Chatbot Build vector stores and retrievers Build an Agent Now, if I take a look at building a chatbot here https://python.langchain.com/docs/tutorials/chatbot/ I can see instructions how to set and install etc,,, For example pip install -qU langchain-xxxxx Available options: OpenAI Anthropic Azure Google Cohere NVIDIA FireworksAI Groq MistralAI Togethe import getpass import os os.environ["ANTHROPIC_API_KEY"] = getpass.getpass() from langchain_anthropic import ChatAnthropic model = ChatAnthropic(model="claude-3-5-sonnet-20240620") My question is this. If I want to use ollama is just a case of changing the code like this: os.environ["OLLAMA_API_KEY"] = getpass.getpass() from langchain_ollama import ChatAnthropic model = ChatOllama(model="model_name") And finally, if this is the case, how do i go about getting the Ollama API Key? Thanks for your help :o)