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Logging YOLOPandas š¼ with Comet-LLMĀ
I wrote an article on how you can explore your data with YOLOPandas and Comet, and you can find the…
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Gemini: A New Multimodal AI Model of Google
Introduction Google has taken a significant leap by introducing the Gemini AI, its latest large language model (LLM), to the…
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A Guide to LLMOps: Large Language Model Operations
Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and…
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Introduction to LangChain for Including AI from Large Language Models (LLMs) Inside Data Applications and Data Pipelines
Large Language Models (LLMs) entered the spotlight with the release of OpenAIās GPT-3 in 2020. We have seen exploding interest…
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Choosing the Right Prompt for Language Models: A Key to Task-Specific Performance
Imagine conversing with a language model that understands your needs, responds appropriately, and provides valuable insights. This level of interaction…
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LLMs: Exploring Data with YOLOPandas š¼ and Comet
Have you ever imagined how cool it would be to analyze, explore and visualize your data in Pandas without typing…
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Plan-and-Execute Agents in Langchain
Evolution from Action to Plan-and-Execute Traditional āAction Agentsā followed a framework where user input was received, the agent decided on…
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Using the ReAct Framework in LangChain
Both ways: Using off-the-shelf agents and LCEL ReAct Framework for Prompting ReAct, which stands for Reasoning + Acting, is a prompting…
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Conversational Agents in LangChain
Both ways: off-the-shelf and using LCEL Conversational Agents Conversational agents in LangChain facilitate interactive and dynamic conversations with users. Conversation agents…
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An Intuitive Guide to Convolutional NeuralĀ Networks
With a Focus on ResNet and DenseNet Photo by Ion Fet on Unsplash This comprehensive guide aims to demystify CNNs, providing…
Run open source LLM evaluations with Opik!
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Category: LLMOps
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