Search DaniWeb - "model

Re: Extract Tabular Data from PDF Images using Hugging Face Table Transformer 2 Days Ago by Harini sri … have any suggestions for handling such cases? Also the symbol &quot;-&quot; is not being detected by extracting the values ![Screenshot_from_2024-05… Retrieval Augmented Generation with Hugging Face Models in LangChain 2 Weeks Ago by usmanmalik57 … an object of the langChain `HuggingFacePipeline` class. ``` pipe = pipeline(&quot;text-generation&quot;, model=model, tokenizer=tokenizer, max_new_tokens=1000) hf = HuggingFacePipeline(pipeline=pipe) ``` The… Summarizing YouTube Video Transcriptions Using Distil Whisper and LLM 1 Week Ago by usmanmalik57 … it into segments, and generates transcriptions. ``` pipe = pipeline( &quot;automatic-speech-recognition&quot;, model=whisper_model, tokenizer=processor.tokenizer, feature_extractor=processor.feature_extractor, max_new_tokens=128… Using Natural Language to Query SQL Databases with Python LangChain Module 4 Weeks Ago by usmanmalik57 …get('OPENAI_KEY2') llm = ChatOpenAI( openai_api_key = openai_key , model = 'gpt-4', temperature = 0.5 ) ```… create_sql_agent(LLM, db=db, agent_type=&quot;openai-tools&quot;, verbose=True) response = agent_executor.… '30% of Activities Performed by Humans Could Be Automated with AI' 2 Weeks Ago by Johannes C. … experts can teach virtual assistants. With reusable components and public model access, people can construct exactly the intelligent help they need… exponentially more value, coordinating interdependent goals. A conservation agent could model sustainability plans, collaborating with a drone agent collecting wildlife data… DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa … of using DaniWeb's content to train an A.I. model, with all the questions that are marked as Solved. It… can be an optional feature, like &quot;Ask DaniWeb AI&quot;. When a user asks a question, the DaniWeb AI… Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by Dani … ChatGPT nor do I know how to train an AI model. From my understanding, the API costs money, although it does… Question Answering with YouTube Videos Using RAG in LangChain 3 Weeks Ago by usmanmalik57 …vector index. ``` llm = ChatOpenAI( openai_api_key = openai_key , model = 'gpt-4', temperature = 0.5 ) retriever =… ChatPromptTemplate.from_messages([ MessagesPlaceholder(variable_name=&quot;chat_history&quot;), (&quot;user&quot;, &quot;{input}&quot;), (&quot;user&quot;, &quot;Given the above conversation, … Re: Bouncing Balls: Creating a new ball when two balls collide 2 Weeks Ago by vortex_1 … primary goal of the bouncing balls simulation is to accurately model and demonstrate the physics of ball collisions, then adding a… Re: Using Natural Language to Query SQL Databases with Python LangChain Module 1 Week Ago by aishamushtaq very helpful Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa The question was inspired from seeing [news](https://blogs.nvidia.com/blog/chat-with-rtx-available-now/) and [videos](https://www.youtube.com/watch?v=UKURI5JSIts) on Chat with RTX. Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by Dani That looks interesting. It’s not relevant to us because we would need an expensive GTX video card, Windows computer, and there’s no API … but it looks intriguing :) Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa An RTX 30 or 40 series card with 8GB of VRAM. ~$299. There is no support with Wine a user has reported. There was a link to a [python api](https://github.com/rpehkone/Chat-With-RTX-python-api). That was just an example and a thought, but not limited there. There's creative solutions. Having only users with an RTX card can use the feature, … Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by Dani Pardon my cluelessness here. A $300 video card can efficiently perform complex AI tasks against DaniWeb’s entire database in real time? Missed the link to the Python API. Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa I have yet to try it or find it's limitations. Trying to free up some space. Those were the minimum requirements, plus 16GB of RAM and ~100GB free space. I also don't know how large a dataset for DaniWeb would be. Will know more later. Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa It indeed seems to be working. The interface is all done in the browser, on your localhost, 127.0.0.1:43905/?__theme=dark, and I stripped it down to just the message box. Just have to gather more data, and it seems good. Took ~50 minutes to get installed. The dataset can be a simple text file with a space between each topic thread. Re: DaniWeb Auto Answer A.I. feature 3 Weeks Ago by toneewa I did some sample testing, and parsed a thread topic for the dataset. Reducing the footprint from 220kb to 26.5kb. All in 0.43 seconds. It doesn't use any API. Just the patterns I saw in the code. It took another 6 seconds to embed too Chat with RTX. Then, not deducting for the deleted threads, this could be a lot smaller, and quicker than … Fine Tuning Google Gemma Model for Text Classification in Python 2 Months Ago by usmanmalik57 …&quot;, &quot;v_proj&quot;, &quot;gate_proj&quot;, &quot;up_proj&quot;, &quot;down_proj&quot;], task_type = &quot;CAUSAL_LM&quot;, ) ``` Finally, you can create an object of the `SFTTrainer` class and pass the Gemma model… 7 NLP Tasks to Perform for Free in Python with Mistral 7b LLM 1 Month Ago by usmanmalik57 …, temperature): messages = [ {&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: input_text}, ] encodeds = tokenizer.apply_chat_template(messages, return_tensors=&quot;pt&quot;) model_inputs = encodeds.to(device) generated_ids = model.generate(model_inputs, max_new_tokens… Retrieval Augmented Generation (RAG) with Google Gemma From HuggingFace 2 Months Ago by usmanmalik57 … Buffets Investment Pshychology?&quot; final_response = generate_response(query) print(&quot;===================================&quot;) print(&quot;RESPONSE FROM RAG MODEL&quot;) print(&quot;===================================&quot;) print(final_response.split(&quot;<end>&quot;)[1]) ``` **Output… Extract Tabular Data from PDF Images using Hugging Face Table Transformer 2 Months Ago by usmanmalik57 … = AutoImageProcessor.from_pretrained(model_name) # import table transformer model for table detection model = TableTransformerForObjectDetection.from_pretrained(model_name, revision=&quot;no_timm&quot;) ``` Next, we define the `detect_table()` function… Claude 3 Opus Vs. Google Gemini Vs. GPT-4 for Zero-Shot Text Classification 1 Month Ago by usmanmalik57 …. tweet: {}&quot;&quot;&quot;.format(tweet) sentiment = client.chat.completions.create( model= &quot;gpt-4&quot;, temperature = 0, max_tokens = 10, messages=[ {&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: content} ] ) return… How Do I address ERROR: access violation writing 0x0000000000005140, 1 Month Ago by A_957 … environment variable or default to a specific model model = GPT4All('nous-hermes-llama2-13b.Q4_0…info(f&quot;Received user input: {user_input}&quot;) # Log the received input try: with model.chat_session('You…logging.error(f&quot;Error generating model response:'{user_input}': {e}&quot;) return &quot;Error processing your request.&quot; @app.… Paris Olympics Chatbot- Get Ticket Information Using Chat-GPT and LangChain 1 Month Ago by usmanmalik57 … following output shows that the model correctly returns the category for the lowest-priced ticket. ``` query = &quot;What is the category for… following, and you will see that the model will generate a correct response. ``` query = &quot;What is the maximum price for category… Paris Olympics Ticket Information Chatbot with Memory Using LangChain 1 Month Ago by usmanmalik57 … to our LLM model. ``` from langchain.chains.combine_documents import create_stuff_documents_chain prompt = ChatPromptTemplate.from_template(&quot;&quot;&quot;Answer the following … games?&quot; generate_response(query) ``` **Output:** ``` The lowest ticket price for tennis games is €30. ``` The model responded correctly… PDF Image Table Extractor Web App with Google Gemini Pro and Streamlit 2 Months Ago by usmanmalik57 … os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r&quot;PATH_TO_JSON_API_FILE&quot; model = GenerativeModel(&quot;gemini-pro-vision&quot;) config={ &quot;max_output_tokens&quot;: 2048, &quot;temperature&quot;: 0, &quot;top_p&quot;: 1, &quot;top_k&quot;: 32 } def generate… Re: Using ChatGPT to Interact with Third-Party Applications in Python 2 Months Ago by catherine_11 Integrating ChatGPT with third-party applications in Python involves utilizing [OpenAI's API](http://www.google.com). Begin by obtaining API credentials, then craft Python scripts to send requests and process responses. Adhere to OpenAI's documentation for optimal integration, ensuring secure and efficient interaction with the ChatGPT model. Odoo : report creation from JSON data 2 Months Ago by codewasher … doing this. I have my custom module, I created a model and xml file inside it, thats I have done so… Re: ASUS Laptops - my experience 1 Month Ago by toneewa Some information left out is the actual name/ model of laptop, hard drive, and whether or not it was … Re: ASUS Laptops - my experience 1 Month Ago by rproffitt …'ve been lucky with them. OK, there is a &quot;thing&quot; about some models where you have to install a media… recently. I can't offer much more without the full model number. For Intel based laptops I usually try the Intel…