🎄 Christmas came early this year for devs and AI/ML engineers working on large-scale classification problems! 🎁 We just launched our new Classifier Agent Toolkit (CAT) — a streamlined way to build LLM classifier agents that you can plug into an agentic workflow. Here are some ways our customers are using this today: ⭐ Triage incoming support tickets so support teams can prioritize urgent issues ⭐ Analyze sentiment of product reviews, social media posts, customer surveys, earnings calls, and more ⭐ Infer user intent to return the correct chatbot response ⭐ Review and categorize legacy application code Works on both AMD and NVIDIA GPUs on any open model like the latest Llama 3.3. 👀 To see how it works, watch our demo here: https://lnkd.in/gU3nJDTZ 🫰 Sign up at https://app.lamini.ai/ and get $300 credit to create your first Classifier project.
Lamini’s Post
More Relevant Posts
-
Want to leverage cutting-edge, precise #deeplearning models for your business? Discover how to achieve accuracy and maintain low end-to-end latency with model inference optimization using #NVIDIATensorRT and ONNX Runtime. Dive into our part 2 blog by @Wipro to learn more: https://nvda.ws/3SmVHjy
-
-
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/wL4mE
-
-
Principal Consultant bei Computacenter AG, Category Leader VMware Solutions, VCDX #181, vExpert, VCI, Nvidia NGCA, Nvidia AI Expert, Dell Heroes, VCF, vSAN, NSX, VeloCloud, VxRail
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/q1VcUV2
-
-
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/wS9TzJ
-
-
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/9KeZvMa
-
-
Consultant | DLP - Data Loss Prevention | BS in Computer Engineering, | CISSP, CDPSE, SSCP, CySA+,SEC+
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/5ZWza
-
-
Extreme Performance Series 2024: Enabling and Optimizing GenAI Workloads with LLMs https://dy.si/9sJwMY
-
-
A new release of #SemSpect is here! In both the Neo4j and RDF versions, it is now easier to keep track of tables, as empty cells can be hidden. In addition, cell values and other graph data can be easily copied from the UI using the context menu. Other improvements and more speed are of course also included. Get started and visualize, analyze and query your knowledge graphs with SemSpect: https://www.semspect.de/
-
-
LLMs are evolving at an unprecedented pace. However, the quest for even greater inference speed and smarter inference capabilities does not end with the development of sophisticated models alone. It extends into the realm of optimzation and deployment technologies. With OpenVINO and its model optimization tool, NNCF, now, Gemma could also run on this small, less than 150$ Intel Dev Kit. Full source codes could be found here: https://lnkd.in/gnPJQ2MT You could always check for more interesting OpenVINO Notebooks demos here https://lnkd.in/gK6qd_JW More info about OpenVINO here openvino.ai #openvino #llm #gemma
