#APIDocumentation

[mdjomiruddin]

Are you tired of spending countless hours wrestling with complex code just to create a simple API? What if you could build robust REST APIs in minutes—without needing to write a single line of code? Introducing NoCodeBackend, a revolutionary platform that empowers anyone, regardless of technical expertise, to create custom APIs quickly and efficiently. Gone are the days of frustration and confusion. With NoCodeBackend’s intuitive interface and AI-powered assistance, you can craft your database and API endpoints effortlessly. Imagine generating comprehensive documentation automatically while simplifying your backend processes. Whether you're a freelancer, e-commerce entrepreneur, or just someone looking to streamline your app development, NoCodeBackend offers valuable features and flexible pricing plans tailored for you. Say goodbye to the steep learning curves of traditional coding and hello to a more accessible way to manage your backend. Curious to learn more? Dive into our full review and discover why NoCodeBackend is a game-changer for API development. Read the full blog here: https://jomiruddin.com/exploring-nocodebackend-a-game-changer-for-api-development/ #NoCodeBackend #APIDevelopment #TechInnovation #BackendDevelopment #NoCode #DigitalTransformation #ProgrammingForEveryone

[lineeshkumar]

How Can a Multilingual Content Moderation API Help Your Business?

The artificial intelligence startup Mistral has announced the launch of a new API for content moderation, designed to ensure greater security and adequacy on various digital platforms. This API is the same technology that powers moderation on Mistral's Le Chat platform and stands out for being adaptable to different applications and security standards.

AI Image

A Powerful and Flexible Moderation Model

At the core of this tool is Ministral 8B, a model tuned and trained to classify texts into nine specific categories: sexual content, hate and discrimination, violence and threats, dangerous and criminal content, self-harm, health, financial, legal issues, and personally identifiable data (PII). This approach allows the API to be applied to both general texts and more complex conversations, expanding its scope for developers and businesses looking to protect their online communities.

In a statement, Mistral underscored the importance of offering more robust and scalable moderation solutions. "We have observed a growing enthusiasm in the industry and the research community for AI-based moderation systems that can be more robust and adaptable to different applications," they said in their blog.

Advantages and Challenges of Automated Moderation

The use of AI-powered moderation systems promises to make it easier to manage large volumes of content while maintaining a safe environment for users. However, they also present challenges. Previous models of moderation have been criticized for biases, such as misinterpreting phrases in African-American Vernacular English (AAVE) as disproportionately "toxic." In addition, some systems tend to mark discussions about disability as negative or problematic, which can perpetuate stigmas and limit online expression.

Mistral acknowledges that although his model shows high levels of accuracy, there is still room for improvement.

Competition and Possible Comparisons

An interesting point is that Mistral did not compare its API directly with other well-known ones, such as Jigsaw Perspective's moderation API or OpenAI's, which leaves open curiosity about how it positions itself in terms of accuracy and effectiveness against these options. This detail may indicate that the company seeks to first establish itself in the market before making public comparisons or simply that it considers its most specialized and unique approach.

A Path to Customizable Moderation

One of the most attractive aspects of this API is its ability to be customized. Companies and developers can adapt the tool to meet their own security standards and policies, making the moderation process not only automated but also aligned with their values and needs.

[govindhtech]

OpenAI o1-preview, o1-mini: Advanced Reasoning Models

OpenAI o1-preview, OpenAI o1-mini, A new collection of models for reasoning that address challenging issues.

OpenAI o1-preview

OpenAI has created a new line of AI models that are meant to deliberate longer before reacting. Compared to earlier versions, they can reason their way through challenging tasks and tackle more challenging math, science, and coding challenges.

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The first installment of this series is now available through ChatGPT and its API. OpenAI anticipates frequent upgrades and enhancements as this is only a preview. OpenAI is also including evaluations for the upcoming upgrade, which is presently being developed, with this release.

How it functions

These models were trained to think through situations more thoroughly before responding, much like a human would. They learn to try various tactics, improve their thought processes, and own up to their mistakes through training.

In OpenAI experiments, the upcoming model upgrade outperforms PhD students on hard benchmark tasks in biology, chemistry, and physics. It also performs exceptionally well in coding and math. GPT-4o accurately answered only 13% of the questions in an exam used to qualify for the International Mathematics Olympiad (IMO), compared to 83% for the reasoning model. Their coding skills were tested in competitions, and in Codeforces tournaments, they scored in the 89th percentile.

Many of the functions that make ChatGPT valuable are still missing from this early model, such as posting files and photographs and searching the web for information. In the near future, GPT-4o will be more capable in many typical instances.

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However, this marks a new level of AI power and a substantial advancement for complicated thinking tasks. In light of this, OpenAI is calling this series OpenAI o1-preview and resetting the counter to 1.

Security

In the process of creating these new models, OpenAI is also developed a novel method for safety training that uses the models’ capacity for reasoning to force compliance with safety and alignment requirements. It can implement their safety regulations more successfully by reasoning about them in the context of the situation.

Testing how effectively their model adheres to its safety guidelines in the event that a user attempts to circumvent a process known as “jailbreaking” is one method they gauge safety. GPT-4o received a score of 22 (out of 100) on one of OpenAI’s most difficult jailbreaking tests, but OpenAI o1-preview model received an 84. Further information about this can be found in their study post and the system card.

OpenAI has strengthened its safety work, internal governance, and federal government coordination to match the enhanced capabilities of these models. This includes board-level review procedures, such as those conducted by its Safety & Security Committee, best-in-class red teaming, and thorough testing and evaluations utilizing its Preparedness Framework.

OpenAI recently finalized collaborations with the AI Safety Institutes in the United States and the United Kingdom to further its commitment to AI safety. OpenAI has initiated the process of putting these agreements into practice by providing the institutes with preliminary access to a research version of this model. This was a crucial initial step in its collaboration, assisting in the development of a procedure for future model research, assessment, and testing both before and after their public release.

For whom it is intended

These improved thinking skills could come in handy while solving challenging puzzles in math, science, computing, and related subjects. For instance, physicists can use OpenAI o1-preview to create complex mathematical formulas required for quantum optics, healthcare researchers can use it to annotate cell sequencing data, and developers across all domains can use it to create and implement multi-step workflows.

OpenAI O1-mini

The o1 series is excellent at producing and debugging complex code with accuracy. OpenAI is also launching OpenAI o1-mini, a quicker, less expensive reasoning model that excels at coding, to provide developers with an even more effective option. For applications requiring reasoning but not extensive domain knowledge, o1-mini is a powerful and economical model because it is smaller and costs 80% less than o1-preview.

How OpenAI o1 is used

Users of ChatGPT Plus and Team will have access to o1 models as of right now. The model selector allows you to manually choose between o1-preview and o1-mini. The weekly rate limits at launch will be 30 messages for o1-preview and 50 for o1-mini. The goal is to raise those rates and make ChatGPT capable of selecting the appropriate model on its own for each request.

Users of ChatGPT Edu and Enterprise will have access to both models starting next week.

With a rate limit of 20 RPM, developers that meet the requirements for API usage tier 5(opens in a new window) can begin prototyping with both models in the API right now. Following more testing, OpenAI aims to raise these restrictions. Currently, these models lack support for system messaging, streaming, function calling, and other capabilities in their API. Check out the API documentation to get started.

OpenAI also intends to provide all ChatGPT Free users with access to o1-mini.

Next up

These reasoning models are now available in ChatGPT and the API as an early release. To make them more helpful to everyone, it plans to add browsing, file and image uploading, and other capabilities in addition to model updates.

In addition to the new OpenAI o1 series, OpenAI also wants to keep creating and publishing models in its GPT series.

Read more on govindhtech.com

[nitorinfotech-blog]

What exactly is API? Why is it important to document it? How can you use API Documentation to connect different systems seamlessly? What are the best practices that you can implement while preparing an API Document? Read our blog to know more

[shadowinfosystem-blog]

#Most companies use third-party software systems to run their #businessOperations, but they cannot get all of the features needed for day-to-day operations. Third Party #API Integration permits you to develop custom #applications that connect directly with your third-party software so that you can add features or improve upon business processes. The API Documentation, supplied by the software vendors, contains all of the technical details required for programmers to integrate the software to a custom application. If your software vendor is able to supply the #APIdocumentation for the software system, then you have an opportunity to #integrate to a #customSoftware application that is specialized for your needs.

[rosdiablatiff01]

https://www.haproxy.com/documentation/dataplaneapi/enterprise/#get-/services/haproxy/configuration/http_response_rules

https://apps.db.ripe.net/db-web-ui/query?bflag=true&dflag=false&rflag=true&searchtext=Individual&source=GRS

[endivesoftware]

Whenever you have searched on the web, or if you have read it on any blog you might have seen or heard of the abbreviation API. Well, it sounds a solid term, but still, what does it mean and why should you be bothered by it?

If you are curious about API development and wish to gain more knowledge of it, then click on this link as given below:

#api #apidevelopment #apidefinition #applicationprogramming #interface #apiservices #thirdpartyapi #apidocumentation #softwaredevelopment #apidevelopers #privateapi #publicapi #databaseapi #remoteapi #webapi #partnerapi

[mergebox]

If you’re shopping for referral software and are a bit lost on how to vet a vendor, you’re in luck, we can help! https://rplg.co/a21f8db0 #Like #ApiDocumentation #BestSoftware #Experts #ReferralSoftware #ShareLinks #UniqueUserScenarios

[monamibhattacharya]

Don’t Freak Out! It’s Just API Documentation.

When talking about APIs, the most common reaction from the Tech Writers I interact with (in the virtual or real world) is a resounding “ugh!”. There are also a few who say it is “easy” because there’s “nothing to write!”

Both reactions may be a tad misguided.

When Tech Writing was my full-time occupation, I was a bit wary of APIs in the beginning, sure, but learned to take them in my stride. A writer’s perception back then (about 12-13 yrs back) usually was - “chunky, ugly code”, “boring”, “beyond redemption!”, the most absurd - “too technical”, and yet again - “nothing to write”. The seasoned writers would recommend one to just work as best as you can to fit it in your documentation template - ensure that it carries the company branding and blends in with the rest of the documentation, that’s all.

It wasn't made any easier by the engineers, who would often snootily scoff if the writers had any questions (considered too obvious), or would have suggestions for improvement (parameter names or comments). They seemed to be in a hurry to somehow get done with it. Was it because they thought they wrote such good code that the documentation was redundant? Or, were they too possessive to share their work-of-art? Or, was it because they found it as “boring” or “beyond redemption” as their writer peers would? They would generally want the writers to blindly follow their instructions; After all, the coders know their code best, not the writers. Is there really a point in any discussion?

All of us inhabited our own islands and our rifts would make the documentation suffer. Very few SDKs we had written back in time, or had access to, were of any use. The cause could be:

Unfriendly language

Incomplete explanations

Useless parameter definitions, etc. 

Over the course of time, things have changed for the better. Open source has somewhere made us more open-minded about feedback. We manage to have constructive debate on the documentation styles. However, the mode and representation haven’t changed as widely as it should have.

Let's face it - we can always do better. We can write better documentation, the UI can always be way better than it is, and of course, the code can be written better. The question still lingers - why APIs? Why document APIs?

If we think of the potential - it is enormous. User experience is paramount. Let's focus on mobile devices alone, of what we provide - the range of apps - eCommerce, games, fitness programs, chat, and so on. If we open the APIs out, as many have, the impact is huge! The various collaborations have yielded such amazing results that reflect in the way the documentation tools have evolved too. One is allowed to be “inspired” to build similar/better apps (not plagiarize) that improve user experience, rework smaller segments of an existing app to make it  better. The community communicates, innovates more, and not surprisingly, a lot of these collaborators who are spread across the globe never have met once!

If we open our APIs out, there’s no bigger hindrance than unfathomable reams of API accompanied by crappy API documentation or none! R.I.P growth and innovation.

Why take baby steps here when the impact could be so great? And that was my philosophy when I started consulting with one of our largest eCommerce companies on their seller API documentation.

The frustrations of collaborating with the various departments within the company aside, I am trying to avoid taking baby steps. I am now trying to take huge leaps to make it easier for our sellers to build what they need over our platform. It is still W.I.P, but the good news... it is way better than what was there, and is only going to improve as we move forward! That can never happen if I try to squeeze in API documentation into the traditional, decades old documentation methodologies. Instead, I am re-skilling.

My approach? Clarity.

Purpose - why are we documenting these APIs? Who is it for - know your audience.

Precision - if I didn't know much about the domain, if I were located seven seas away, could I do something useful based on the information in the document alone?

Implementation - how am I going to distribute the docs? Is maintenance easy in my absence?

Of these three, the 1st two are probably hard to achieve, but crucial as they decide the direction your documentation will take. The third one is a bit tedious (perhaps?) given that it involves choosing from the many available options/budgets, etc. So, while approximations are acceptable in real, day-to-day life, it is always good to be precise when giving instructions for someone to follow.

To be continued...

[scott-bamford]

Flexible API Documentation with ApiDoc (http://apidoc.codeplex.com)

What is ApiDoc

ApiDoc is a tool for creating a set of technical API documents to help developers…

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