RETRIEVAL AUGMENTED GENERATION - A Simple Introduction.pdf
43.1 MB
RETRIEVAL AUGMENTED GENERATION - A Simple Introduction.pdf
GenAI GraphRAG and AI agents using Vertex AI Reaso... - Google Cloud Community
https://www.googlecloudcommunity.com/gc/Cloud-Product-Articles/GenAI-GraphRAG-and-AI-agents-using-Vertex-AI-Reasoning-Engine/ta-p/789066
https://www.googlecloudcommunity.com/gc/Cloud-Product-Articles/GenAI-GraphRAG-and-AI-agents-using-Vertex-AI-Reasoning-Engine/ta-p/789066
Knowledge Graph-based Agent With Llama 3.1, NVIDIA NIM & LangChain
https://neo4j.com/developer-blog/knowledge-graph-llama-nvidia-langchain/
https://neo4j.com/developer-blog/knowledge-graph-llama-nvidia-langchain/
Graph Database & Analytics
Build a Knowledge Graph-based Agent With Llama 3.1, NVIDIA NIM, and LangChain
Learn to use Llama 3.1 native function-calling capabilities to retrieve structured data from a knowledge graph to power your RAG applications.
Learn how to solve connectivity problems efficiently with the Union-Find data structure! My new blog post provides a clear Python implementation and real-world examples. Perfect for anyone working with networks or clusters.
Check it out: https://lnkd.in/dDPzQSBm
Check it out: https://lnkd.in/dDPzQSBm
Struggling with summarizing massive documents using LLMs? Context window limitations got you down? 😩
I just explored how to leverage LangGraph and AWS Bedrock to tackle this challenge head-on with the powerful map-reduce technique! 🚀
Check out my latest blog post for a step-by-step guide and code examples.
https://lnkd.in/d4Trgw53
#LLMs #AWSBedrock #LangGraph #TextSummarization #AI
I just explored how to leverage LangGraph and AWS Bedrock to tackle this challenge head-on with the powerful map-reduce technique! 🚀
Check out my latest blog post for a step-by-step guide and code examples.
https://lnkd.in/d4Trgw53
#LLMs #AWSBedrock #LangGraph #TextSummarization #AI
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
a-practical-guide-to-building-agents.pdf
https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
Read “Decoding Python’s “Weird” Remainder: Understanding the Modulo Operator with Negative Numbers“ by Bhadresh Savani on Medium: https://bhadreshpsavani.medium.com/decoding-pythons-weird-remainder-understanding-the-modulo-operator-with-negative-numbers-1ad9797e739b
Medium
Decoding Python’s “Weird” Remainder: Understanding the Modulo Operator with Negative Numbers
Hey there, fellow Pythonistas! Have you ever been tripped up by the seemingly strange behavior of the modulo operator (%) when dealing with…
Tracing the thoughts of a large language model \ Anthropic
https://www.anthropic.com/research/tracing-thoughts-language-model
https://www.anthropic.com/research/tracing-thoughts-language-model
Anthropic
Tracing the thoughts of a large language model
Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms