Does ada support other languages than English?
community.openai.com/t/does-ada-support-other-languages-than-english/185307
May 25, 2023
2
Vector Similarity Explained | Pinecone
www.pinecone.io/learn/vector-similarity/
May 23, 2023
1
Stanford CRFM
crfm.stanford.edu/2023/03/13/alpaca.html
May 22, 2023
4
What is Azure OpenAI Service? - Azure Cognitive Services
learn.microsoft.com/en-us/azure/cognitive-services/openai/overview
May 22, 2023
1
LangChain AI Handbook | Pinecone
www.pinecone.io/learn/langchain/
May 20, 2023
1
Callbacks — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/modules/callbacks/getting_started.html
May 19, 2023
1
Plan and Execute — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/modules/agents/plan_and_execute.html
May 19, 2023
2
yoheinakajima/babyagi
github.com/yoheinakajima/babyagi
May 19, 2023
1
How To Calculate and Optimize ChatGPT Costs Using Langchain
betterprogramming.pub/how-to-calculate-and-optimize-chatgpt-costs-using-langchain-9599354f0e2c
May 19, 2023
1
Counting Tokens for OpenAI GPT-3 API
blog.devgenius.io/counting-tokens-for-openai-gpt-3-api-59c8e0812eeb
May 19, 2023
1
How is Auto-GPT different from LangChain · Significant-Gravitas/Auto-GPT · Discussion #725
github.com/Significant-Gravitas/Auto-GPT/discussions/725
May 19, 2023
4
Plan-and-Execute Agents
blog.langchain.dev/plan-and-execute-agents/
May 19, 2023
41
Pricing
openai.com/pricing
May 19, 2023
21
Getting Started — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/modules/prompts/prompt_templates/getting_started.html
May 18, 2023
42
woop/rebuff: Rebuff.ai - Prompt Injection Detector
github.com/woop/rebuff
May 18, 2023
1
LangChain Prompt Injection Webinar - YouTube
www.youtube.com/watch?v=fP6vRNkNEt0
May 18, 2023
4
LangChain + Zapier Natural Language Actions (NLA)
blog.langchain.dev/langchain-zapier-nla/
May 18, 2023
1
LangChain Agents Deep Dive with GPT 3.5 — LangChain #7 - YouTube
www.youtube.com/watch?v=jSP-gSEyVeI
May 18, 2023
32
Data Augmented Question Answering — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/use_cases/evaluation/data_augmented_question_answering.html
May 18, 2023
11
Custom LLM Agent — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/modules/agents/agents/custom_llm_agent.html
May 18, 2023
1
Evaluation — 🦜🔗 LangChain 0.0.173
python.langchain.com/en/latest/use_cases/evaluation.html
May 18, 2023
1
Connecting to a Feature Store — 🦜🔗 LangChain 0.0.171
python.langchain.com/en/latest/modules/prompts/prompt_templates/examples/connecting_to_a_feature_store.html
May 17, 2023
21
Towards Expert-Level Medical Question Answering with Large Language Models
arxiv.org/abs/2305.09617
May 17, 2023
1
Paper page - Towards Expert-Level Medical Question Answering with Large Language Models
huggingface.co/papers/2305.09617
May 17, 2023
1
imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks
github.com/imartinez/privateGPT
May 17, 2023
2
How to Create LOCAL Chatbots with GPT4All and LangChain [Full Guide] - YouTube
www.youtube.com/watch?v=4p1Fojur8Zw
May 17, 2023
1
ReAct: Synergizing Reasoning and Acting in Language Models
arxiv.org/abs/2210.03629
May 17, 2023
1
Introducing LangChain Agents
medium.com/microsoftazure/introducing-langchain-agents-e58674b1a657
May 17, 2023
2
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
arxiv.org/abs/2305.04091
May 17, 2023
1
Is ChatGPT becoming a serious security risk for your business?
www.techradar.com/news/bosses-are-worried-valuable-data-is-being-shared-with-chatgpt
May 16, 2023
1
Samsung workers made a major error by using ChatGPT
www.techradar.com/news/samsung-workers-leaked-company-secrets-by-using-chatgpt?s=09
May 16, 2023
1
Strategic Implications of Large Language Models: A Managerial Perspective - Unit8
unit8.com/resources/strategic-implications-of-large-language-models-a-managerial-perspective/
May 16, 2023
32
LLaMA: Open and Efficient Foundation Language Models
arxiv.org/abs/2302.13971v1
May 16, 2023
1
PhoebusSi/Alpaca-CoT: We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. Meanwhile, we created a new branch to build a Tabular LLM.（我们分别统一了丰富的IFT数据（如CoT数据，目前仍不断扩充）、多种训练效率方法（如lora，p-tuning）以及多种LLMs，三个层面上的接口，打造方便研究人员上手的LLM-IFT研究平台。同时tabular_llm分支构建了面向表格智能任务的LLM。
github.com/PhoebusSi/Alpaca-CoT
May 16, 2023
1
How To Create Fully Automated Blog Articles With Chat GPT - YouTube
www.youtube.com/watch?v=KCqLzC07A6k
May 16, 2023
21
Commercial Claims Processing - Instabase
instabase.com/product-solutions/commercial-claims-processing/
May 16, 2023
1