u/Ecstatic-Register570

I am a student in my third year of btech in India in a tier 2 college, learning rag, generative ai and Agentic ai, I've been following campusx for langchain and langgraph and m almost about to complete langgraph, but the thing is that my basics like machine learning and deep learning are incomplete, I haven't completed them and I don't know what to do, I jumped to the applied ai part directly . Can you guys help me out? I want to crack an internship as soon as possible so what is the way I should move now, I need some guidance or like mentorship around that, like what projects I should build, I am able to build rag applications but how to showcase them in resume? Coz every other guy is doing that on LinkedIn, what new to put in that? Something above basic rag chatbots? And something which can make my rag chatbot different from others? I am very much confused around that pls help

I want to watch this shinchan movie crayon the super hot the spicy kasukabe dancers, which was Indian variant of shinchan movie, it was released in India in theatres but I couldn't watch it wt that time is there any to watch it right now online for free or paid???

Hello engineers, I am new to rag and one problem I am constantly facing is how to generate embeddings faster and for free, I have used googlegenerativeaiembeddings for generating embeddings for free but the problem is that it's qouta is very small and also it's rate limits for the free tier gets hit very fast, are there any other alternatives to generate embeddings for completely free on cloud or like for production

For testing purposes I have tried using some sentence transformers from hf, i recently tried the jasper model ranked 2 in mteb on hf which is only a 600m model, I hosted that on my own droplet on digital ocean cloud platform of which I had free credits of 200$, however it was working very slow on cloud cpu like hell slow, I want a faster free alternative because I am a student and I want to give the deployed links of the things I am trying building in my resume and on GitHub and also my major goal while building the apps is trying to reduce the latency as much as possible being in free tier only, and making the system fast and efficient which I am taking consideration of throught langsmith tracing.

Can you help me with free embedding generating models?

Also drop some project ideas beginner to intermediate level which you think will impact the recruiter seeing my resume.

I'm in my learning phase, and I was building a project related to financial documents where I was required to summarise large text PDFs that too containing numbers and tables sometimes, and summarise them so how to handle that? I can't directly put into all the text to the llm and ask to summarise, what's the right approach to do that? And also what's the best way to extract the data from the text PDFs including numeric tables?