PinnedYash BhaskarUsing LangChain ReAct Agents with Qdrant and Llama3 for Intelligent Information RetrievalThis tutorial explores how three powerful technologies — LangChain’s ReAct Agents, the Qdrant Vector Database, and Llama3 Language Model.May 22May 22
PinnedYash BhaskarUsing Qdrant on Google Cloud to Build Enterprise RAG ApplicationsRetrieval-Augmented Generation (RAG) systems can help businesses extract valuable insights from large volumes of unstructured data. By…Mar 29Mar 29
PinnedYash BhaskarinCubedGrok-1.5 : Improved reasoning capabilities and Long Context CapabilitiesSource : https://x.ai/blog/grok-1.5Mar 29Mar 29
PinnedYash BhaskarinCubedGroq Inference Engine — 18x Faster Than GPUsLet’s delve into Gro’s technology, its implications for various industries, and the transformative potential it holds for the future of AIFeb 225Feb 225
PinnedYash BhaskarGPT5 : Everything we know about itOpenAI’s recent developments have sparked widespread speculation about the potential launch of GPT-5, the next iteration of their…Jan 282Jan 282
Yash BhaskarEasiest Way to fine tune LLMsUse Llama-Factory because it very easy to set up compared to other frameworks (basically…10h ago10h ago
Yash BhaskarBuilding Multi-Layer GRU from ScratchIn this article, We are making a Multi-layer GRU from scratch for tasks like discussed in RNN and LSTM article. Referring to them you can…Jun 29Jun 29
Yash BhaskarBuilding Multi-Layer LSTM from ScratchIn this article, We are making a Multi-layer LSTM from scratch for tasks like discussed in RNN article. Referring to them you can model…Jun 25Jun 25
Yash BhaskarBuilding Multi-Layer RNN from ScratchIn this article, We are making Multi-layer RNN from scratch for tasks like Many-To-Many Input Output, Many-To-One Input Output and…Jun 23Jun 23
Yash BhaskarBuilding a Documentation Chatbot Using Qdrant, Deepset Haystack and Llama3Guide on building a documentation chatbot capable of referencing any documentation and providing answers with links to the source pages.Jun 22Jun 22