Software Alternatives, Accelerators & Startups

Build LLMs Apps Easily VS SafeBet.ai

Compare Build LLMs Apps Easily VS SafeBet.ai and see what are their differences

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Build LLMs Apps Easily logo Build LLMs Apps Easily

build your customized LLM flow using LangchainJS,

SafeBet.ai logo SafeBet.ai

Daily AI sports picks generated by artificial intelligence. SafeBet.ai helps you analyze all NBA, NFL, MLB, UFC and soccer games. It has a massive database by having analyzed all the games in the past 3 years. Use AI to improve your sports bets.
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  • Build LLMs Apps Easily Landing page
    Landing page //
    2023-08-23
  • SafeBet.ai Landing page
    Landing page //
    2023-10-17

SafeBet.ai is one of those new companies which went viral in 2023 due to the use of artificial intelligence. Their AI has analyzed over 20.000 games in different sports. Making accurate predictions for what will happen in future games. This way helping a rapidly growing community of sports bettors to beat the books.
Elevate your bets with AI sports picks instead of making emotional decisions. Let SafeBet.ai look at the data!

Category Popularity

0-100% (relative to Build LLMs Apps Easily and SafeBet.ai)
Large Language Model Tools
Sports
0 0%
100% 100
Communications
100 100%
0% 0
Sport & Health
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100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Build LLMs Apps Easily and SafeBet.ai

Build LLMs Apps Easily Reviews

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SafeBet.ai Reviews

  1. AI is taking over all industries!

    Another AI tool which works as magic! It's very accurate in its sports predictions, amazed by the results!

  2. Awesome software!!

    Easy to use software. Helps me to analyze the games in advance.

    ๐Ÿ‘ Pros:    Easy to use|Data analysis
  3. Improved my bets

    Great sports picks software which has helped improve my bets. Been using it for 2 weeks now and will definitely continue.

    ๐Ÿ‘ Pros:    Instant phone notifications|Nfl, nba & mlb included|Data accuracy
    ๐Ÿ‘Ž Cons:    No nhl picks

Social recommendations and mentions

Based on our record, Build LLMs Apps Easily seems to be more popular. It has been mentiond 8 times since March 2021. 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.

Build LLMs Apps Easily mentions (8)

  • How to Deploy Flowise to Koyeb to Create Custom AI Workflows
    Flowise is an open-source, low-code tool for building customized LLM orchestration flows and AI agents. Through an interactive UI, you can bring together the best AI-based technologies to create novel processing pipelines and create context-aware chatbots with just a few clicks. - Source: dev.to / 24 days ago
  • Rise of Local LLMs ?
    Consider using a library like LangChain to further build upon this technology, adding long-term memory and context awareness. You can even try a low-code setup locally with Flowise. - Source: dev.to / 3 months ago
  • Launch HN: AgentHub (YC W24) โ€“ A no-code automation platform
    They look great. https://flowiseai.com/ does something similar for building AI apps specifically. Less workflow centric but worth checking out regardless. - Source: Hacker News / 3 months ago
  • Enhance your Website with AI: Embed a GPT-ChatBot with Flowise
    Flowise, an open-source, no-code visual tool, utilizes LangchainJS. It can be deployed locally, in a Docker container, or on cloud platforms. For this guide, we'll use Docker in a Hugging Face Space. - Source: dev.to / 6 months ago
  • VectorShift: No-code LLM workflow builder
    Some other related tools: - https://langflow.org/ -- open source - https://flowiseai.com/ -- prototype. - Source: Hacker News / 10 months ago
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SafeBet.ai mentions (0)

We have not tracked any mentions of SafeBet.ai yet. Tracking of SafeBet.ai recommendations started around Oct 2023.

What are some alternatives?

When comparing Build LLMs Apps Easily and SafeBet.ai, you can also consider the following products

LangChain - Framework for building applications with LLMs through composability

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