Question Answering with YouTube Videos Using RAG in LangChain Programming Computer Science by usmanmalik57 …have text in the LangChain document format, you can split it using any LangChain splitter, create text embeddings, …handle large documents and prepare them for retrieval, we split them into smaller chunks using the LangChain `RecursiveCharacterTextSplitter`. …Arc de Triomphe) for a view of the city. 2. Having a picnic near the Eiffel Tower with food… Paris Olympics Chatbot- Get Ticket Information Using Chat-GPT and LangChain Programming Computer Science by usmanmalik57 …-GPT Retrieval augmented generation (RAG) works in three steps. 1. Split and create embeddings for the documents containing the knowledge base… you want to search. 2. 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Converting PDF Image to CSV Using Multimodal Google Gemini Pro Programming Computer Science by usmanmalik57 …currency symbols and the decimal separators. ``` lines = full_response.strip().split('\n') def process_line(line): special_patterns = re.compile(r'\d+,\…: line = line.replace(match, temp_replacement, 1) parts = line.split(',') for i, part in enumerate(parts): if temp_replacement in part… PDF Image Table Extractor Web App with Google Gemini Pro and Streamlit Programming Computer Science by usmanmalik57 …the decimal separators. ``` def process_line(line): lines = full_response.strip().split('\n') special_patterns = re.compile(r'\d+,\d+\s[€%]') temp_replacement = …line = line.replace(match, temp_replacement, 1) parts = line.split(',') for i, part in enumerate(parts): if temp_replacement in part… Fine Tuning Google Gemma Model for Text Classification in Python Programming Computer Science by usmanmalik57 ….TrainingArguments( per_device_train_batch_size=1, gradient_accumulation_steps=4, warmup_steps=2, max_steps=100, learning_rate=2e-4, fp16=True… prediction = tokenizer.decode(outputs[0], skip_special_tokens=True) prediction.split(" ")[-1] ``` **Output:** ``` positive ```… Retrieval Augmented Generation (RAG) with Google Gemma From HuggingFace Programming Computer Science by usmanmalik57 …containing external knowledge into a vector database. 2. Convert the input query into corresponding vector…for the `gemma-2b-it` model, a 2 billion parameters instruction variant of Gemma. ``` model_name … MODEL") print("===================================") print(final_response.split("<end>")[1]) ``` **… 7 NLP Tasks to Perform for Free in Python with Mistral 7b LLM Programming Computer Science by usmanmalik57 …temperature, do_sample=True) decoded = tokenizer.batch_decode(generated_ids) return decoded[0].split("[/INST]")[1].rstrip("</s>"….png](https://static.daniweb.com/attachments/4/dde6bac6ebb29a1e02dcb63ac3f000c1.png) ## 2. Text Summarization with Mistral 7b Let's now perform text… Re: Extracting values from capturing groups in regex Programming Software Development by Reverend Jim …>' pat = '<td>(.+?)</td>' then re.split(pat,html) returns ['<tr align="right">…;', '236', '', 'Roy', '', 'Allyson', ''] and re.split(pat,html)[1::2] will return only ['236', 'Roy', 'Allyson'] The expression `.+?` does… Re: Extracting values from a regex match Programming Software Development by Reverend Jim …>' pat = '<td>(.+?)</td>' then re.split(pat,html) returns ['<tr align="right">…;', '236', '', 'Roy', '', 'Allyson', ''] and re.split(pat,html)[1::2] returns ['236', 'Roy', 'Allyson'] Re: Extracting values from capturing groups in regex Programming Software Development by Reverend Jim ….findall(pat,line)) I realized that findall is cleaner than split. 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