Jasper.ai Reviews

1. Cory

   | Full Stack Developer at SwanIT - IT-yritykset Suomessa | 9 months ago
   Jasper: A Game-Changer for Streamlining Business Operations

   Jasper has been a game-changer for our organization, streamlining our operations and enhancing productivity. Its feature-rich platform, combined with excellent customer support, makes it a valuable asset for any business looking to optimize processes and gain valuable insights.

   👍 Pros:    Jasper has truly revolutionized our workflow, offering a robust set of tools that simplify complex tasks. the intuitive interface and customization options make it easy to tailor the platform to our specific needs. the seamless integration of data analytics and reporting has provided valuable insights, empowering our decision-making processes.

   👎 Cons:    While jasper is a powerful tool, the learning curve can be steep for new users. some advanced features may require additional training to fully utilize. occasionally, we've encountered minor glitches in the system, but the responsive support team has been quick to resolve these issues.
2. Krunal Misal

   over 1 year ago
   Better tha human

   It can help you overcome writer's block, give you ideas for blog posts, and create better outlines. For topics that are frequently written about, Jasper can really help do a lot of the heavy lifting.

Qdrant Reviews

Jasper.ai mentions (28)

• What if chatgpt is down your running out of time?

  If it’s still not working, try alternate tools like Essay Writer, PerfectEssayWriter.AI or Jasper.AI. Source: 6 months ago

• Ask HN: What AI writing tool do you use for blog posts?

  So, what do you use for content writing and what is your workflow? [1] https://jasper.ai. - Source: Hacker News / 9 months ago

• Ask HN: What AI writing tool do you use for blog posts?

  Hope you're having a nice start of the weekend! So, I've been looking around for better AI writing tools for my content. I don't have the budget right now to hire full on writers (if you have recommendations, let me know). I tried Jasper AI[1] and I gotta say, it's pretty solid for cranking out long-form content swiftly. It listens to my prompts nicely and helps in drafting blog posts and stuff. I was one of the... - Source: Hacker News / 9 months ago

• The best ChatGPT Prompt site! other options?

  JasperAI This is the website I used the first time, and it let me know about Prompt. Jasper.ai is a content creation platform that can help you create high-quality content in minutes. Summary: Content creation is great, but with Flowgpt I don't use it much anymore, there are a lot of places where you have to pay…. Source: 10 months ago

• AI as a Writer's aly? - by Ghanshyam Digital

  3. Jasper Jasper is a powerful AI writing tool that can help you create a wide range of content, including blog posts, emails, social media posts, and even scripts. Jasper is a great tool for anyone who wants to take their writing to the next level. Jasper.ai. Source: 11 months ago

Qdrant mentions (40)

• WizSearch: 🏆 Winning My First AI Hackathon 🚀

  Vector Databases: Qdrant for efficient data storage and retrieval. - Source: dev.to / 7 days ago

• How to Build a Chat App with Your Postgres Data using Agent Cloud

  AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector. - Source: dev.to / about 1 month ago

• Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain

  Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / about 2 months ago

• Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant

  I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / about 2 months ago

• Ask HN: Has Anyone Trained a personal LLM using their personal notes?

  I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / 3 months ago