The new Claude AI came out today and it's just INCREDIBLE! Claude 3.5 Sonnet, Artifacts, and GPTs version
@AnthropicAI
… Here's my complete test → https://youtu.be/RYSWmDqydi8 So, better than #ChatGPT?
TOOLS
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New Claude AI: Complete test and comparison with ChatGPT
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Gemini 1.5 Pro 2M now available on Poe platform
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You can try Gemini 1.5 Pro 2M at https://
poe.com/Gemini-1.5-Pro
-2M
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Flowise 1.8.3 Release: Latest Bugfixes and Improvements
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For more bugfixes and other improvements, take a look at the latest Github release – https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise1.8.3
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LangWatch: New AI Observability Tool for LLM Applications
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LangWatch New observability tool @LangWatchAI Docs: https://
docs.langwatch.ai/integration/fl
owise
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Firecrawl Web Scraper: Convert Websites to LLM-Ready Markdown
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🔥Firecrawl Web Scraper
— FlowiseAI (@FlowiseAI) 26 juin 2024
Crawl and convert any website into LLM-ready markdown or structured data in Flowise, thanks @mendableai team for the integration! pic.twitter.com/gqYLp2BskpFirecrawl Web Scraper Crawl and convert any website into LLM-ready markdown or structured data in Flowise, thanks @mendableai team for the integration!
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Flowise v1.8.3 Release: Claude Sonnet, Azure GPT-4o Integration
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Flowise v1.8.3 release
— FlowiseAI (@FlowiseAI) 26 juin 2024
🧠 New models
– Claude Sonnet 3.5
– Azure gpt-4o
– Voyage-2 embeddings and reranker models
💬 Chat Embed
– Agent reasoning steps
– Tooltip display
– Notification sound
🔥Firecrawl Web Scraper
🔭LangWatch
📚Multi Query Retriever pic.twitter.com/LgTrbxZelZFlowise v1.8.3 release New models
– Claude Sonnet 3.5
– Azure gpt-4o
– Voyage-2 embeddings and reranker models Chat Embed
– Agent reasoning steps
– Tooltip display
– Notification sound Firecrawl Web Scraper
LangWatch
Multi Query Retriever -
ChatGPT and Replit: Rapid Prototyping Habit for Building Ideas
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The most powerful and simple habit I've picked up in the last two years: Whenever I wonder if something can be built, I ask ChatGPT to prototype it, and then try running it on Replit.
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RAPIDS cuDF Library Now Integrated into Google Colab
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Also their cuDF library will automatically know if you're running on GPU or CPU and speed up your processing. RAPIDS cuDF is now integrated directly into Google Colab. Checkout the Colab Notebook: https://
colab.research.google.com/github/rapidsa
i-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_colab_demo.ipynb?ncid=ref-inor-594904
… Check out the Github Repo: -
NVIDIA accelerates Pandas 150x faster with minimal code changes
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Pandas is a powerful data analysis and manipulation library for Python!
— Sumanth (@Sumanth_077) 26 juin 2024
NVIDIA just made Pandas 150x faster with zero code changes🔥
All you have to add is just a couple of lines of code:
%load_ext cudf.pandas
import pandas as pd pic.twitter.com/5JKqte1tppPandas is a powerful data analysis and manipulation library for Python! NVIDIA just made Pandas 150x faster with zero code changes All you have to add is just a couple of lines of code: %load_ext cudf.pandas
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cuDF Pandas Accelerator: Accelerated Computing for Large Datasets
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Pandas operates in-memory, as it loads the entire dataset into the local memory of the machine it is running on. This limits its ability to handle large datasets. With cuDF’s pandas accelerator you can now bring accelerated computing to pandas workflows.