Moderated a session this morning on applied GenAI/LLMs for a broad group of folks, thanks to Hydrolix.io for sponsoring the event outside RSA. As many folks think about building out "chain of thought" RAG pipelines, I wanted to mention there was a cool effort by a group to expand the context window of LLAMA 3 from 8k to 1M tokens. https://lnkd.in/eK8U3Pms I started to test with a typical needle in a haystack test, but discovered we need a better way to test efficacy- that more accurately aligns with the way we retrieve data from files and content blocks provided to the model. I will share more as a solution is fully identified. BUT, this Gradient model is a great potential addition to those using GenAI Assistant and Agents with local enterprise data, such as large log datasets housed in systems such as Hydrolix.io.
Timothy R.’s Post
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🚀 Matthieu Riegler just shared an upcoming utility function for #Angular Signals: linkedSignal. Looks like it will already land in v19. This function makes implementing the reset pattern both user-friendly and synchronous. When a Signal changes, it automatically resets the state of dependent Signals. The magic happens internally with computed, not effect(), ensuring glitch-free synchronization. Here is the original posting: https://lnkd.in/eXAbqGXM PR: https://lnkd.in/ekaZ5cJR
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Robust projective measurements through measuring code-inspired observables - https://lnkd.in/eRHbV7TS #quantum #thequantumhubs #quantumcomputing #quantumcomputers #quantumtechnology #quantumcomputer #quantumleap #quantumphysics #quantumsecurity
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Explore How ExfOptimizer Overcomes LLM Computational Challenges! Check out our latest video on ExfOptimizer by Exafluence, powered by the Wolfram Engine. Learn how it addresses the computational limits of LLMs and delivers optimized solutions for complex scenarios across industries.
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Leader in Regulation as Digital Infrastructure & Compliance as a Competitive Advantage I CEO I Co - Founder at Realta Logic
Core to our soul as to our solution. Operationalizing Regulations with real time attestation. This is what get us up in the mornings 😎 Come join Stephen Mc Gowan #nodes2024 and understand why Compliance is not a hygiene factor but a lynchpin of innovation and revenue - Fun right there! #compliance #regtech Rod Johnson, Peter Dunne, Ian Oppermann Tom Gilpin, Dan Cooke
Just a week to go until my talk at the #NODES2024 conference. Can't wait to share some of the exciting things we at Realta Logic have been doing with #GraphRAG and #LLMs, leveraging the power of our regulatory #KnowledgeGraph. It's an online conference, so there is no reason not to tune in to my talk on November 7th @4:30pm AEDT https://lnkd.in/giJjNUT4 Neo4j Siddhant Agarwal Peter Philipp #Graphs
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Stan Corner and Marianne Wichman (Maz) are ready for the first full day at the LYD_Docs #GrowthConference! If you're there have a chat with them about how ATOmate can give you time back by automating your ATO document processing.
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Steps to Implement Quantum Teleportation using Qiskit Install Qiskit: !pip install qiskit Import Required Libraries: from qiskit import QuantumCircuit, Aer, transpile, assemble, execute from qiskit.visualization import plot_histogram Create Quantum Circuit for Teleportation: def quantum_teleportation(): # Create a Quantum Circuit with 3 qubits and 3 classical bits qc = QuantumCircuit(3, 3) # Create Bell pair qc.h(1) qc.cx(1, 2) # Prepare the state to be teleported qc.cx(0, 1) qc.h(0) # Measure qubits 0 and 1 qc.measure([0, 1], [0, 1]) # Apply conditional operations qc.cx(1, 2) qc.cz(0, 2) # Measure the teleported qubit qc.measure(2, 2) return qc Simulate the Circuit: qc = quantum_teleportation() simulator = Aer.get_backend('qasm_simulator') compiled_circuit = transpile(qc, simulator) qobj = assemble(compiled_circuit) result = execute(qc, backend=simulator, shots=1024).result() counts = result.get_counts(qc) plot_histogram(counts)
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The future data logger market will most likely belong to wireless, unattended data loggers, capable of intelligent edge processing. Examples of such data loggers are our SmartBugs®. Not only do they collect and classify the acquired accelerometer or strain gauge data, but they also perform online Rainflow-Counting capturing all closed fatigue cycles as they are revealed during any data logging session. Instead of logging TBs of data to be processed at some point in the future, our SmartBug® do all processing online! Do you have any challenging data-logging applications in harsh environments? Transmission Dynamics; Redefining the Status Quo #datalogger #dataacquisition #datascience #instrumentaiton
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📢 Explore the free service to convert your data to quantum circuits! QBN-Member data cybernetics ssc GmbH delves into the realm of quantum technology and introduces its latest product, Q-Alchemy. It addresses the subject matter of data to quantum. 🔗 Read more and watch the youtube tutorials: https://lnkd.in/d2mWkfwj #Quantum #QuantumIndustry #QuantumComputing
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