Not just asking the right questions. Also straight up telling it what you want. The near future belongs to those who are best at communicating their needs.
AGENTS
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AI as a Patient and Ego-Free Collaborator
By
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I love how the AI is ever patient and has no ego about anything either. It's very relaxing to work with as a collaborator
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Customer Support Agent and Chat Moderator Staffing
By
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No but I have 1 cust supp agent, 1 chat moderator
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Proposal Genie Uses AI to Automate Upwork Freelancer Selection
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Proposal Genie crafts Upwork proposals for you using AI. Wonder if clients will select freelancers using AI soon too? https://
futurepedia.io/tool/proposal-
genie
… #ArtificialIntelligence #ChatGPT #upwork -
LangChain Improves Agent Max Iterations Handling with Final LLM Pass
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More graceful handling of agent max iterations Previously, when an agent reached max iterations, it just stopped with a fixed message Now it makes one final forward pass through the LLM to generate a best guess final answer h/t @johnjnay for idea https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/max_iterations.html
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LangChain v0.0.55 Release: Agent and Chain Improvements
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v0.0.55 HuggingFace docs update (
@_lewtun
)
Unify argument names for intermediate steps in map-reduce & refine chains (h/t @johnjnay
)
More graceful handling of agent max iterations (h/t @johnjnay
)
Add human prefix for memory (Andrew Huang) -
LangChain Gallery Showcases Community AI Projects
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Gallery Our favorite section to write, this includes awesome examples of things created with LangChain (many open sources!), from people like @johnjnay @brunotorious @BlackHC @JavaFXpert @chillzaza_ @matthiassamwald https://
langchain.readthedocs.io/en/latest/gall
ery.html
… -
LangChain Use Cases: Agents, Chatbots, QA, Summarization
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Use Cases A new section, this highlights common use cases of LangChain, including: – Agents
– Chatbots
– Question Answering over your documents
– Summarization
– Evaluation https://
langchain.readthedocs.io/en/latest/inde
x.html#use-cases
… -
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
– Memory -
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
Gallery