Ram Sukumar Of Indium Unpacks Why Text Analytics Is A Big ...

I'm A Life Coach And These Are The 4 Signs You Need To Quit Your Job… & How To Deal With A 'toxic' Boss

STARTING a new job is often a time of excitement - wondering what your new role will be like, meeting new colleagues, going into a different office… 

But once this has died down and you've been there for several months or years, dynamics may have changed and you might wonder if it's time to move on again. 

6

Quitting a job is not a decision that should be taken lightlyCredit: Nora Sahinun

6

Life coach and boundaries expert Michelle Elman has shared the signs it's time to quitCredit: Michelle Elma

Life coach and boundaries expert Michelle Elman can help in this situation as she's spoken exclusively to Fabulous on the signs that show it's time to quit. 

Michelle, 30, is an accredited life coach by boards in Neurolinguistic Programming, Time Line Therapy, Hypnotherapy and NLP coaching. 

"A life coach is someone who helps you create the life you want," she explained. 

And though it's difficult to differentiate a psychologist from a life coach, Michelle said what she does is "more future-oriented whereas psychologists tend to address the problems that have occurred in your past". 

read more fabulous stories

Here, she tells us the top four signs you should leave your job… and the right way to do it. 

4 Signs It's Time To Get Out

6

There are four signs to look out for

Michelle explained that if you absolutely dread waking up in the morning, this is a telltale sign that the job may no longer be right for you. 

"We have all had mornings we dread but if that feeling is everyday, then you have to remember that the bulk of your day (and week) is spent at work," she explained. 

At some point, you need to ask yourself if you can sustainably stay in this situation that's draining you. 

Most read in Fabulous

SAVAGE BEAST

I watched my baby get mauled to death by my XL bully - get them off the street

BARING ALL

From too much flesh to blokes who cheat – here's what REALLY happens in your gym

MYSTIC MEG

Your ability to make any level of bond is the strongest in the zodiac

SEXCELLENT

I'm a sex expert - 5 things women like doing in bed, and why 13 minutes is ideal

The second sign to watch out for is if your boundaries are not being respected as an employee of a company.

The expert said: "You can be as good at communication as you want but if your workplace is not receptive and listening, then you might as well be talking to a brick wall." 

How you feel and you're being treated are two parts of the equation, but what if you're not being financially compensated for your time? 

Michelle explained that there's an "energy exchange" when it comes to workplaces as "you give your time and energy and they pay you". 

She shared: "When we lack self worth we do not equate our time and energy to a high value but some key signs could be that you are working more than one person's job or the person above you does less than you but is being paid more."

And finally, Michelle said that a toxic workplace culture is a sure sign that it's time to get out. 

"Sometimes you can love your job but the people you work with make your day more difficult than it needs to be," she explained.

"Common complaints I hear are about diet culture in the office or not respecting out of hours boundaries." 

When Should You Quit?

6

Michelle said there's an important question to ask yourself before quitting

While waiting until after the New Year has come is a popular time to start searching for a job, Michelle said there's no real right time to take the plunge. 

The expert explained that no matter when you decide to leave, it will be an uncomfortable conversation and "will likely elicit fear that won't go away by waiting longer". 

She continued: "What I would say is that we live in a culture that encourages quitting your job and becoming freelance or travelling the world a lot.

"I would take a more practical approach and ask yourself if you would rather be looking for a new job while you are unemployed because your work life is draining you so much or would you prefer the safety of knowing your next job is lined up. 

"If it's the latter, only quit once you have a plan of action on where you are going next."

How Do You Have A Smooth Exit? 

6

It's best to leave a job on good terms

While it might be tempting, once you've decided to leave a company you shouldn't bring up all the issues you've had. 

Instead, Michelle said you should "leave that to the people who have to continue to work there".

In an ideal world, you would leave the job on the best terms possible, which would result in your getting references and keeping future work relationships. 

"It's also key to understand though that sometimes no matter how tactfully you have done it, it is out of your control how they react," she went on.

"Their response is not your responsibility, be proud of your own behaviour and keep your side of the street clean so you can walk out of there knowing you communicated in the best way possible," she added. 

What If You Have A Toxic Boss?

6

Michelle shared some tips on dealing with a 'toxic' bossCredit: Vasko Miokovic Photography

If you like your job and don't actually want to leave the company, but are dealing with a difficult boss, Michelle has some tips… 

First of all, it's important to set boundaries and "maintain them around how you deserve to be treated". 

She continued: "If they persist in treating you that way, then continuing to reinforce your boundaries and setting consequences is important to show that you stand by what you mean.

"For example: 'if you continue to email me at midnight, you won't be getting a response any longer'. 

"People fear setting boundaries because they think it will lead to automatic firing but without your boundaries, you will want to quit anyway."

"Boundaries won't make you more liked in the office, but it usually leads to more respect," she added. 

Thumbay Institute For AI In Healthcare: Advancing Healthcare With Generative AI And NLP

Dubai: The Thumbay Institute for Artificial Intelligence (AI) in Healthcare recently hosted a one-day workshop titled "Generative AI and Natural Language Processing (NLP) in Healthcare." The event successfully brought together a congregation of healthcare professionals and AI enthusiasts, aiming to explore the transformative applications of AI in the healthcare sector.

The workshop featured a keynote address by Mr. Prabhal Mohandas from Athenia AI, who provided in-depth insights into the latest developments in Generative AI and Natural Language Processing, with a particular focus on their profound impact in the healthcare landscape. Discussions centered on the integration of technology and healthcare, emphasizing AI's potential to revolutionize patient care, data management, and medical research.

Dr. Vinaytosh Mishra, Director of Thumbay Institute for AI in Healthcare, graced the occasion and shared the institute's upcoming agenda, highlighting the introduction of future workshops and long-duration programs. "We are on the brink of an extraordinary era in healthcare, where AI has the potential to redefine the standards of patient care and medical research. At Thumbay Institute, our mission is to equip professionals and enthusiasts with the necessary knowledge and skills to lead this transformative wave," said Dr. Mishra.

The workshop provided an interactive platform for networking, knowledge-sharing, and collaborative opportunities between tech enthusiasts and healthcare practitioners. Attendees left the event with a comprehensive understanding of the promising future of AI in healthcare.

The Thumbay Institute of AI in Healthcare is dedicated to leveraging the potential of Artificial Intelligence (AI) in medical education, bringing together experts in medicine, decision science, data analytics, and AI technologies. The institute offers certificate programs, training, and the development of digital skills for healthcare workers in partnership with prestigious colleges like the University of Applied Sciences Upper Austria. In September 2023, the institute has begun full-fledged certificate programs, which aims to pave the way for the transition into long-duration programs as per the Ministry of Education UAE guidelines. Students who complete these programs will be equipped to develop AI solutions specifically suited to the health professions industry.

DataStax Unveils Groundbreaking Transfer Learning Advancements In NLP

DataStax unveils Transfer Learning in NLP and Vector Search.

USA - October 25, 2023 —

The world of Machine Learning is magical and never-ending. There's always something new going on in the world of machine learning and there is only so much we can learn at once. So taking one at a time, today there is yet another interesting machine learning concept that you will love to know about. Today, we are going to have a discussion on Transfer Learning in Natural Language Processing. Yes yes yes, nothing makes sense now, we know. But by the end of the article, it's our promise that all of us will be on the same page. So without further ado, let's take a deep dive into it.

What is Natural Language Processing?

Before we start learning about Transfer Learning in Natural Processing, we need to understand that things will only make sense before we know what is Natural language processing in the first place. Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and human language. The primary goal of NLP is to enable computers to understand, interpret, and generate human language in a way that is both meaningful and useful. 

What is Transfer Learning?

Now let's see what is Transfer Learning. Before that, observe this, with machine learning you make a machine train on some dataset expecting it to provide results for the next provided dataset based on the learnings it had on the previous dataset. Natural Language Processing is a bit different than that. 

Transfer Learning in Natural Language Processing (NLP) involves leveraging knowledge gained from pre-training on one task and applying it to improve performance on a different but related task. Basically, the machine would be learning for a different set of tasks performed but would be applying that knowledge to perform a completely different task. The idea is to transfer the knowledge acquired during the training of a model on a large dataset (source task) to boost the performance of the same model on a different, possibly smaller dataset (target task).

Transfer Learning is a machine learning paradigm where a model trained on one task is repurposed or adapted for a second related task. The Transfer Learning model in Natural Language Processing has various components also known as phases. 

Pre-Training Phase

The first phase is the pre-training phase. Before jumping into providing a machine with specialized and specific datasets, it is first trained on a source task that is typically a large and general dataset. 

Transfer to Target Task

Once the machine is accustomed to performing for generic and large datasets, it is then provided with specific datasets that correspond to various target tasks in an application. The knowledge gained during pre-training is then transferred to a different task or domain but shares some underlying characteristics with the source task.

Fine-Tuning

This last phase of Transfer Learning is more of an optional phase. This is a phase to increase the accuracy and the preciseness of a transfer learning model. The transferred model is fine-tuned on the target task using a smaller dataset specific to that task. Fine-tuning allows the model to adapt its learned features to the nuances of the target domain.

Vector Representations in Transfer Learning

In transfer learning, the concept of embedding examples into a vector space is common. Each example (or task) is represented as a point in a high-dimensional space, and the model learns how to navigate this space effectively.

What is Vector Search?

To understand what is this whole talk of vector search about, we first need to have a look at what exactly is a vector. Vector is a mathematical term meaning a representation of data in a multi-dimensional space. These vectors are used to represent various types of data, such as text, images, or any other structured or unstructured information. Vector Search is an algorithm that searches for information in a database by mapping each data item to a vector representation of itself. The key innovation behind vector search lies in these vectors capturing not just the raw data but also the relationships and similarities between data items. 

How does vector search work?

Now that we have an idea of what big data and vector search is, let us see how it exactly works.

Vector search engines — known as vector database, semantic, or cosine search — find the nearest neighbors to a given (vectorized) query.

There are basically three methods to the vector search algorithm, let us discuss each of them one by one.

Vector Embedding

Wouldn't it be simple to store data in simply one form? Thinking about it, a database having data points in one fixed form will make it so much easier and more efficient to carry out operations and computations on the database. In vector search, vector embedding is how one can do so. Vector embeddings are the numeric representation of data and related context, stored in high dimensional (dense) vectors.

Similarity Score

Another method under vector search that simplifies comparing two datasets is the similarity score. The idea of similarity score is that if two data points are similar their vector representation will be similar as well. 

ANN Algorithm

The ANN algorithm is yet another method to account for the similarity between two datasets. The reason why the ANN algorithm is efficient is because it sacrifices perfect accuracy in exchange for executing efficiently in high dimensional embedding spaces, at scale. 

Contact Info:Name: Media RelationsEmail: Send EmailOrganization: DatastaxWebsite: http://datastax.Com

Release ID: 89111278

In case of encountering any inaccuracies, problems, or queries arising from the content shared in this press release that necessitate action, or if you require assistance with a press release takedown, we urge you to notify us at error@releasecontact.Com. Our responsive team will be readily available to promptly address your concerns within 8 hours, resolving any identified issues diligently or guiding you through the necessary steps for removal. The provision of accurate and dependable information is our primary focus.

---