Hi, My team got a new project requirement.The ask is to develop a computer vision solution that can Identify the defects in inbound packages coming to a manufacturing warehouse. They come in fixed size pallets which contains multiple boxes. The defect could be anything - dents, torn packaging, broken pallet etc . How should I got about 1.Solution - GPT4 vision or custom trained models? Any recommendations from your experience in terms of model and training 2.Hardware requirements - how many cameras,what was your setup? Was latency a big issue? Any help would be greatly appreciated submitted ..read more

I'm very new but I want to work on the larger projects I can think about. So say I load gpt4. How do I get my model a) to be trained and b) to ask me interview questions and adequately respond? In case the explanation is too time-consuming for you, any github/youtube/course etc links that are relevant would suffice. Please assist. submitted by /u/Holiday_Slip1271 [visit reddit] [comments ..read more

https://huggingface.co/microsoft/Phi-3-mini-128k-instruct The numbers in the technical report look really great, I guess need to be verified by 3rd parties. submitted by /u/topcodemangler [visit reddit] [comments ..read more

Hello everyone, I am currently developing a recommendation system aimed at suggesting previously logged foods to users. The goal is to make meal logging simpler and more intuitive by leveraging past data. Here are some constraints and specifications of the system: Constraints: The system will only recommend foods that the user has previously logged. It needs to handle food logging both at the end of the day and throughout the day. The initial dataset available will start with 0 and the model will grow to each users. Parameters: Time of day when foods are logged. I am looking for insights ..read more

Hey, I am currently doing a malware classification (malware,benign).Used the naive Bayes(Bernoulli) the accuracy was 67 at this point.After the tuning it goes straight up 100. Is this normal or not? I did Outlier removal using the IQR and feature selection using the correlation. submitted by /u/Saheenus [visit reddit] [comments ..read more

Many are trying to install and deploy their own LLaMA 3 model, so here is a tutorial I just made showing how to deploy LLaMA 3 on an AWS EC2 instance: https://nlpcloud.com/how-to-install-and-deploy-llama-3-into-production.html Deploying LLaMA 3 8B is fairly easy but LLaMA 3 70B is another beast. Given the amount of VRAM needed you might want to provision more than one GPU and use a dedicated inference server like vLLM in order to split your model on several GPUs. LLaMA 3 8B requires around 16GB of disk space and 20GB of VRAM (GPU memory) in FP16. As for LLaMA 3 70B, it requires around 140GB o ..read more

Hey fellow Redditors! I've got some insights to share about how artificial intelligence (AI) and machine learning (ML) are revolutionizing data collection processes, driving innovation and growth for businesses. Let's delve into the fascinating world of AI/ML adoption and its profound impact on business operations. AI's Influence in Daily Life Discover how AI technologies like chatbots are transforming customer service, healthcare diagnostics, and operational optimization, making our lives more efficient and convenient. The Rise of Automation in Data Collection Explore the concept of smart da ..read more

Hello Community, I am preparing a lecture on language models with a lot of hands on work in python. I am trying Llama 3 8b but it seems to run very slow to answer prompts. I have a laptop with a modern I7 and 32GB of RAM. I assume my students have something less powerful and I don’t want them to take hours just for a prompt. So do you know a model that is reasonably fast without giving up too much performance? submitted by /u/mbungee [visit reddit] [comments ..read more

Hello! I've studied robotics engineering, and my approach to Al has primarily focused on computer vision. I've been deeply interested in this area and, of course, nowadays, I use GPT-4 on a daily basis for both work and personal projects. I'm starting an MSc in Al next year, and in the cover letter for the master's application, I would like to discuss potential research topics that combine robotics and Al. My first choice involves using reinforcement learning for navigation and path planning. I'm also interested in the potential application of vision transformers to visual and semantic SLAM ..read more

Hi everybody, I've been working on a project for over two years now: Deepfake-Total.com, a website where you can analyze audio files for traces of text-to-speech or voice conversion, i.e. identify audio deepfakes and spoofs, which I feel is an important topic, especially given the number of important elections coming up. The tool is free-to-use and supports YouTube and twitter URLs, as well as the manual upload of audio files. I wanted to share this and get your feedback: What works for you and what does not, where can I improve? The model should be quite precise for most input, but similar t ..read more