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… documents most likely to contain a response for the query. 3. Pass the user query and the matched document in a… Paris Olympics Ticket Information Chatbot with Memory Using LangChain Programming Computer Science by usmanmalik57 …-Paris2024/ticket-prices.pdf") docs = loader.load_and_split() ``` We then split our PDF document and create embeddings for the different chunks… Retrieval Augmented Generation (RAG) with Google Gemma From HuggingFace Programming Computer Science by usmanmalik57 … the highest similarity with the input query. 3. Formulate the query and the information retrieved … from 1977 to 2021. Next, we will split our dataset into chunks using the [Pythhon LangChain… RAG MODEL") print("===================================") print(final_response.split("<end>")[1]) ``` **Output:**… 7 NLP Tasks to Perform for Free in Python with Mistral 7b LLM Programming Computer Science by usmanmalik57 …number of response tokens (maximum characters in response) 3. the model temperature (the measure of a … decoded = tokenizer.batch_decode(generated_ids) return decoded[0].split("[/INST]")[1].rstrip("</s>&…the model generates a very accurate summary. ## 3. Text Classification with Mistral 7b Text classification … 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 … max_new_tokens=1) prediction = tokenizer.decode(outputs[0], skip_special_tokens=True) prediction.split(" ")[-1] ``` **Output:** ``` positive ``` You can … = tokenizer.decode(outputs[0], skip_special_tokens=True) sentiment = prediction.split(" ")[-1] return sentiment ``` Next, we loop through… Multivariate Stock Price Prediction with Transformer Encoder in TensorFlow Programming Computer Science by usmanmalik57 ….iloc[:train_size] # Create the test set test_data = data.iloc[train_size:] # split each of the training and test sets into features and… 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… 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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