#limiting

[kai-ninjago]

Amity: how did your first T shot go, Luz?

Luz, still shaking like a leaf after breaking a blood vessel: I’m a pro at it!

[howifeltabouthim]

These were impositions, defining categories that failed to recognize the muddle that is us, human beings.

Siri Hustvedt, from The Blazing World

[lavideenrose]

It's so limiting to say what something is. It becomes nothing more than that.

David Lynch

[mykl]

The best way i know to complete a to-do list is limiting it to three monosyllabic tasks.

[spitblaze]

[guy who doesnt watch shows voice] yeah ive been meaning to watch that show

[william-snekspeare]

alternate take on my other steve comic.

help me afford new socks

[trans-cuchulainn]

as an aroace person with limited sexual experience, no interest in watching porn, and poor sex ed as a teen, there IS something simultaneously funny and vaguely tragic about being 28 adult years old and realising how extremely tiny your frame of reference is for genitalia and deciding you should expand this to better understand bodies (yours and others). and then you're just there like "okay so what the fuck do I even google right now, anyway"

[bored-boring-and-tired]

i propose that instead of pride month, we have queer year (queer people are treated like actual people all year long)

edit: @ilackhumanqualities wins best addition to this post

[beetlejuce]

CHAPPELL ROAN winning Best New Artist at the 2024 MTV Video Music Awards

[jcmarchi]

📽 [Webinar] Beat GPT-4 with a Small Model and 10 Rows of Data*

New Post has been published on https://thedigitalinsider.com/webinar-beat-gpt-4-with-a-small-model-and-10-rows-of-data/

📽 [Webinar] Beat GPT-4 with a Small Model and 10 Rows of Data*

Small language models (SLMs) are increasingly rivaling the performance of large foundation models like GPT-4. However, the need for high-quality datasets for fine-tuning these models presents a persistent challenge. 

On August 8th, Predibase is going to showcase an approach for fine-tuning an SLM that outperforms GPT-4 with synthetic data generated from only 10 real-world examples.

The Data Dilemma

While fine-tuning SLMs with high-quality datasets can consistently produce task-specific models that outperform large foundation models, many teams face a significant barrier: assembling sufficient training data. This challenge has often been a bottleneck in AI development, limiting the ability of teams to develop production-ready models quickly and cost-effectively.

Synthetic Data Through Distillation

Our upcoming webinar introduces an innovative solution to this persistent challenge. By leveraging the capabilities of large language models such as GPT-4 and Llama-3.1-405b, we’ve developed techniques to generate high-quality synthetic data for fine-tuning task-specific SLMs. This approach enables teams to achieve GPT-4 level results with as few as 10 real-world examples, dramatically reducing the data collection burden and accelerating the path to production.

In this comprehensive session, we’ll delve into the following key areas:

The Data Insufficiency Challenge: We’ll explore the persistent issue of insufficient training data in AI development, discussing the limitations it imposes on teams working with SLMs.

Synthetic Data Generation Techniques: Our ML team will demonstrate methods for generating high-quality synthetic data based on as few as 10 data rows using Llama-3.1-405B and GPT-4. 

Achieving GPT-4 Level Performance: We’ll show how SLMs fine-tuned with synthetic data can match or exceed the performance of GPT-4 across various tasks. Attendees will gain insights into the fine-tuning process, hyperparameter optimization, and performance evaluation metrics.

Streamlining the Development Process: We’ll discuss strategies for significantly reducing data collection efforts and accelerating the journey from concept to production. This includes techniques for identifying key seed examples, automating the synthetic data generation pipeline, and optimizing the fine-tuning workflow.

Join us on August 8th

Whether you’re an AI practitioner, startup founder, or enterprise decision-maker, this session will equip you with knowledge to effectively use synthetic data and SLMs. Join us to explore how synthetic data and fine-tuned SLMs can unblock your AI initiatives. Register today.

*This post was written by Will Van Eaton from Predibase. We thank Predibase for their insights and ongoing support of TheSequence.

[relationskills101]

Unlock Your Potential through Motivational Bob Proctor Sayings for Live Your Life

Bob Proctor is well-known motivational orator, writer, and success mentor who has inspired countless individuals worldwide to unleash one's complete potential and achieve one's goals. Drawing from many years of experience in self development, Bob Proctor has shared his knowledge via powerful sayings that act as guiding principles to lead a satisfying and successful life.

A key of the key principles highlighted in Bob Proctor's sayings is the power of positive thinking. He frequently points out that one's ideas possess the power to influence one's circumstances, and by maintaining a constructive mindset, we can attract abundance and prosperity into our lives. As he famously said, "Visualize yourself existing in prosperity and you will attract it."

Another fundamental concept which Bob Proctor frequently speaks about is Law of Attraction. According to this concept, like attracts like, meaning that our thoughts and feelings have the power to influence what manifest in our lives. Bob Proctor's quote, "Thoughts become things. If you see it in your mind, you will hold it in your hand," emphasizes the need to align our ideas with one's goals to manifest the life we truly want.

Beyond promoting optimistic thinking and utilizing this principle, Bob Proctor also highlights the importance of challenging self-imposed barriers. Such beliefs may hinder reaching our full potential and realizing our goals. By challenging these beliefs and substituting them with empowering thoughts, one can overcome mental constraints and embrace new opportunities.

Taking action is a further key aspect of Bob Proctor's approach on success. Although a positive attitude plays a significant role in shaping our reality, it is essential to combine positive thinking with decisive action. As he aptly stated, "If you wish to achieve your dreams, The first thing you have to do is wake up." By taking proactive steps towards one's objectives, we can turn our aspirations into tangible results.

To sum up, adopting a mindset of achievement involves nurturing positivity, leveraging this principle, addressing self-imposed limitations, and taking consistent action toward one's objectives. Bob Proctor's inspirational quotes act as a reminder of the power we hold within ourselves to create our desired life. As we internalize these principles and apply them in our daily lives, we set the stage for growth and transformation on both personal and professional levels.

The Billionaire Mindset

[canisalbus]

The forbidden smooth Machete.

A lot of his head is just fluff, without it he's even more noodly than usual.

[isjasz]

Stellar death

[cocoabats]

the winners

[mizgnomer]

Crowley’s hairstyles/looks - down through the ages ...now including Good Omens Season Two

The original Season One post [ x ]

[the-magnus-protocol]

Tma + tmagp art masterpost