Agent-Assisted Syndrome Decoding with Python & Qiskit

Partitioned Feature Mapping. AI agents autonomously distributing feature-encoding tasks across networked QPUs for faster processing. Skills: Python, scikit-learn. https://lnkd.in/dR837zSA #Branch51 #ParallelComputing #QML

Can you build a GPT in just 200 lines of Python? I just came across "microgpt", which is a minimalist, 200-line Python implementation of GPT training and inference using only basic math ops. https://lnkd.in/gFbKUbwb This is new for me, so I'll wait and watch how others react and how microgpt evolves. #MachineLearning #DeepLearning #Python #TechInnovation

Cluster-Based QML Inference. Goal-oriented agents managing real-time prediction fixes on federated multi-QPU edge nodes. Skills: Python, scikit-learn. https://lnkd.in/dR837zSA #Branch51 #EdgeAI #QuantumInference

kNN (k-Nearest Neighbour) and it's implementation through Python. Please refer the attached document. #Python #InstanceBasedLearning #kNN #MachineLearning #ML #MLAlgorithms #AI #ArtificialIntelligence #DataScience #LinkedInCommunity

Python you actually need for GenAI You don’t need to learn all of Python to work with GenAI. Most GenAI systems rely on a small set of Python patterns: control flow, state, and orchestration. The mistake many people make is trying to “finish Python” before understanding how GenAI systems behave. Learn Python to steer systems — not to master the language. #GenAI #Python #AIAgents #AIEngineering #ArtificialIntelligence

We know that creating knowledge graphs from unstructured data can be a headache. Now? The Neo4j GraphRAG for Python package includes a Knowledge Graph Builder to help you convert your unstructured and structured data. The result: Organized representations of real-world entities and relationships that power better #AI applications. Read more about this ⬆️ in the blog and learn how to create them in the #GraphAcademy course "Constructing Knowledge Graphs with Neo4j GraphRAG for Python." https://bit.ly/4pRh6iK #Python #Neo4j

One of most important aspect of Agentic AI which is not spoken or given importance is the code comments(doc strings). The better docstring reduces the probability of hallucinations when using tools. #AgenticAI #LLM #CodingStandards #pep8 #python

Many people think Python is about writing models. In GenAI systems, Python plays a different role. It controls: • decision flow • tool orchestration • state and memory • how models are actually used That’s why you don’t need to master all of Python before starting with GenAI. You need enough Python to steer the system — not to build the model itself. #GenAI #Python #AIAgents #AIEngineering #ArtificialIntelligence

Agent-Driven QuOps Metrics. Tracking logical accuracy vs. noise levels via autonomous monitoring agents. Skills: scikit-learn, Python. https://lnkd.in/emtA2Fat #Monitoring #Performance #AgenticAI