BabyAGI might be a bit more popular than Apache Zeppelin. We know about 9 links to it since March 2021 and only 7 links to Apache Zeppelin. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Now we can proceed with the definition of Apache Zeppelin. It is a web-based notebook that enables data-driven, interactive data analytics and collaborative documents with Python, Scala, SQL, Spark, and more. You can execute code and even schedule a job (via cron) to run at regular intervals. - Source: dev.to / 5 months ago
Have you tried Apache Zepellin I remember that you can pretty print spark dataframes directly on it with z.show(df). Source: about 2 years ago
I used to use Zeppelin, some kind of Jupyter Notebook for Spark (that supports Parquet). But it may be better alternatives. https://zeppelin.apache.org/. - Source: Hacker News / over 2 years ago
Another more widely used notebooks for scala and spark: Https://zeppelin.apache.org/. Source: over 2 years ago
Apache Zeppelin is one open source option - https://zeppelin.apache.org. - Source: Hacker News / about 3 years ago
Define agency. Does AutoGPT or BabyAGI fit the definition? Source: 7 months ago
People also have been trying to build multi-agent and task-planning systems. MS research in Asia seems to produce decent results with Task Matrix and HuggingGPT. Similar things have been tried in the form of Auto-GPT and BabyAGI , but both projects are setting their goal so high that they may not achieve the at all, and they are likely to see a complete rework when multi-modal solutions become widespread. Source: about 1 year ago
BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp. Source: about 1 year ago
Yes, we haven't seen anything like that yet. But we do see the people trying to build these things (see AutoGPT, babyagi, ChaosGPT, etc) today, and with the last few years of advancement in LLMs they now have the fundamental building blocks to succeed in the near term (say the next 5 years) rather than in some imaginary far future. Source: about 1 year ago
You should check out some of the projects that combine LangChain with LLMs to automate this process like BabyAGI (https://github.com/yoheinakajima/babyagi) and AutoGPT (https://github.com/Significant-Gravitas/Auto-GPT). They were originally designed around ChatGPT models but have expanded to include llamacpp as an alternative. These provide your language models with the ability to save long term memory, a... Source: about 1 year ago
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