Training or fine-tunning a model with billions of parameters, such is the case of LLMs, is very costly. Every weight has to be updated in every train step of the algorithm, which require hours of processing and expensive hardware. But sometimes we start from the basis of an already traine...
In this article, I will show you the absolute most straightforward way to get a LLM installed on your computer. We will use the awesomeOllama projectfor this. The folks working on Ollama have made it very easy to set up. You can do this even if you don’t know anything about LLMs....
CPU is faster than GPU in this case. So you don't have to useCLBlastby passing parameter-ngl 1inmaincommand. Taskset RK3588is a big.Little architecture CPU. I had tried many times and found that use onlyBIGcore is more effective than use ALL core. So it's wisely to bind BIG core ...
“We posit that generative language modeling and text embeddings are the two sides of the same coin, with both tasks requiring the model to have a deep understanding of the natural language,” the researchers write. “Given an embedding task definition, a truly robust LLM should be able to g...
We’ll use the “Sharp” terminology in this article to avoid confusion. Also, the words, “Notes” and “Keys” are used interchangeably. Keeping that in mind, let’s begin! Understanding Waves — A Quick Revision You must have heard about the waves in your physics class. Waves like ele...
to print its output direct url to a file, from within a python program. This is what I have tried: import youtube-dl fromurl="www.youtube.com/..." geturl=youtube-dl.magiclyextracturlfromurl(fromurl) Is that possible? I tried to understand the mechanism in the source but got lost...
But I do not know how can I connect my downloaded model & embedding model in offline environment. Is there any particular parameter that I have to manipulate ? I want to execute offline chatbot, without using API of huggingface. python streamlit langchain Share Improve this question Foll...
# 可以利用`.with_config(configurable={"llm": "openai"})` to specify an llm to use chain.with_config(configurable={"llm": "openai"}).invoke({"topic": "bears"}) # 或者 chain.with_config(configurable={"llm": "anthropic"}).invoke({"topic": "bears"}) ...
###Use of Output parser with LLM Chain I want to use the sequential chain of two LLm chains. The first chain is coded as below. I want to get the output of this chain as a Python list of aspects. # This is an LLMChain for Aspects Extraction. ...
Python 3.8 or later installed, including pip. The endpoint URL. To construct the client library, you need to pass in the endpoint URL. The endpoint URL has the formhttps://your-host-name.your-azure-region.inference.ai.azure.com, whereyour-host-nameis your unique model deployment host name...