DataCamp is having free access to their courses next week November 4th - 10th. Curious if anyone has a recommendation on any of these courses? https://www.datacamp.com/blog/datacamp-free-access-week

This is a guided series of tutorials/notebooks that can be taken as a reference or course to build a PDF to Podcast workflow. You will also learn from the experiments of using Text to Speech Models. It assumes zero knowledge of LLMs, prompting and audio models, everything is covered in their respective notebooks. https://github.com/meta-llama/llama-recipes/tree/main/recipes/quickstart/NotebookLlama P. S: This is Meta's Open Source response to Google’s NotebookLM, which I posted about earlier in Sept, link below. https://www.skool.com/data-alchemy/notebooklm-by-google?p=79c92544

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/

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)

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