Getting Started Covers all aspects of how to get started using LangChain to build an LLM application – including installation, environment setup, and a walkthrough of the main modules https://
langchain.readthedocs.io/en/latest/gett
ing_started/getting_started.html
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TOOLS
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Getting Started with LangChain for LLM Application Development
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LangChain Core Modules: Prompts, LLMs, Chains, Agents
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Modules The main modules of functionality that make up LangChain, consisting of: – Prompt Templates
– LLMs
– Utilities (search, vector DBs, etc)
– Chains
– Agents
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LangChain Revamps Documentation with New Sections
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New Year, New Docs In an effort to make LangChain easier-to-use than ever before, we've revamped our docs. Sections include: Getting Started
Modules
[NEW] Use Cases
[NEW] Ecosystem
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Plotly and Bokeh: Essential Data Visualization Libraries
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Great addition Sarah! @plotly and @bokeh is amazing
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Weekly Writing Resources: How-tos, Deconstructions, Tactics, and AI Prompts
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2,035+ writers write better/faster/stronger when they sign up for: • 1 Big how-to or story/lesson
• 1 Writing deconstruction
• 1 Tactic I use all the time
• 1 Genius AI writing prompt
• 1x each week -
Abacus AI Simplifies ML Deployment with End-to-End Solutions
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The average machine learning engineer spends 98% of their time stitching services together. At @abacusai
, we take data from you, train a model, deploy it and give you an endpoint you can use immediately. Less complexity → More time to focus on what truly matters. -
Keras: High-Level Neural Network Library Built on TensorFlow
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6. Keras Keras is a high-level library for building and training neural networks. It is built on top of TensorFlow and provides a simple and intuitive interface for defining and training models. It is well-suited for quick prototyping. https://
keras.io -
TensorFlow: Google’s Open-Source Machine Learning Platform
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5. TensorFlow TensorFlow is an open-source machine-learning library developed by Google. It provides a flexible and efficient platform for building, training, and deploying machine learning models, including support for deep learning. https://
tensorflow.org -
PyTorch: Facebook’s Open-Source Deep Learning Framework
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4. PyTorch PyTorch is an open-source machine-learning library developed by Facebook. It is a popular choice for deep learning and provides support for dynamic computation graphs, which allow for more flexible and efficient model design. https://
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scikit-learn: comprehensive machine learning library for Python
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3. scikit-learn scikit-learn is a library for machine learning in Python. It provides a wide range of algorithms for classification, regression, clustering, and model selection, as well as tools for evaluating the performance of these models. https://
scikit-learn.org/stable/