The new ai powered Google BARD is a rival for ChatGPT

[AiDaily]

In recent years, artificial intelligence (AI) has made significant strides in various fields, including natural language processing (NLP). Google has been one of the leaders in this area, constantly developing new tools to improve the way we interact with technology. One such tool is Google BERT (Bidirectional Encoder Representations from Transformers) and its successor, Google BARD (Big ARchitecture for Data), which have been making waves in the AI community.

Google BARD is an AI-powered language model that can generate natural-sounding text based on prompts from users. Like ChatGPT, BARD uses machine learning algorithms to analyze vast amounts of data to generate text that can mimic human conversation. However, BARD is significantly more powerful than ChatGPT, as it can understand and generate text in multiple languages, making it a more versatile tool.

While ChatGPT was trained on a vast dataset of online conversations, Google BARD was trained on a more extensive dataset, including books, websites, and academic papers, making it more robust and capable of handling a wider range of topics. Additionally, Google has also integrated BARD with its Knowledge Graph, allowing the model to provide more accurate and relevant responses to user queries.

BARD’s ability to understand multiple languages and generate responses in context makes it an ideal tool for businesses looking to communicate with customers in different countries. With BARD, businesses can provide accurate and natural-sounding responses in different languages without the need for human translators, making communication more efficient and effective.

Another area where BARD excels is in its ability to understand context. Traditional chatbots often struggle with understanding the context of a conversation, leading to generic or irrelevant responses. BARD’s advanced algorithms allow it to analyze the context of a conversation and generate responses that are more relevant and accurate, making it a valuable tool for customer service and support.

While BARD is a significant advancement in AI-powered language models, it is still in its early stages and has a long way to go before it can rival ChatGPT’s capabilities. ChatGPT has been trained on a more extensive dataset and has been in development for longer, making it more mature and stable. Additionally, ChatGPT’s open-source nature allows developers to customize and modify the model to suit their specific needs, making it a more versatile tool for businesses and individuals.

In conclusion, Google BARD is a powerful tool that has the potential to rival ChatGPT in the future. Its ability to understand multiple languages and analyze context make it an ideal tool for businesses looking to communicate with customers globally. However, ChatGPT’s maturity, stability, and open-source nature make it a more versatile tool for developers and individuals. It will be interesting to see how both models continue to evolve and shape the future of AI-powered language processing.

[bill.french]

@AiDaily

Another area where BARD excels is in its ability to understand context. Traditional chatbots often struggle with understanding the context of a conversation, leading to generic or irrelevant responses. BARD’s advanced algorithms allow it to analyze the context of a conversation and generate responses that are more relevant and accurate, making it a valuable tool for customer service and support.

One challenge facing all AI developers is the ability to assess the stated promises and claims. Until I can build automated tests that integrate with actual business content from a specific domain of work, Bard will remain on the back burner for most developers. I fully expected access to Bard to include at least some basic ability to blend data and examine outcomes.

OpenAI generated massive interest quickly because it launched with a relatively modern and complete API. I’ve applied for access to the Bard API but crickets.

Thoughts?

[AgusPG]

Aligned. Also: I’m tired of bald claims made by Google and Meta. Their AI teams are great. World-class. But their execution is not, and it’s killing them. No LLM competes with GPT nowadays. Alpaca and Dolly are the most interesting approaches to me because of their open-source nature and the possibility of commoditizing them. But I don’t wanna know anything about Meta and Google nowadays.

Yeah, Bard is so great.

[AiDaily]

actually I haven’t tried it, I just did a lot of valid resets, because I’m still under 18. but already meets the minimum age requirements. so, sorry if there is a little mistake.

[nunodonato]

why are you posting AI generated content?

[aikanarov]

I have test and Bard it not rival yet to chatGPT

[PaulBellow]

A buddy did some D&D tests, and Bard wasn’t as good as GPT-4 for that task… I haven’t tried myself personally yet.

[Mark01]

makes my spidey sense tingle as well

[nunodonato]

you dont need a spidey sense, I can bet my neck its AI generated

[AgusPG]

Bard is great. But bananas are greater

[aikanarov]

Not yet at least, I have tried and have a ver poor performance in comparison.

[lachie1]

Bard is the wish dot com version of chat gpt.

[bill.french]

Observation as of May 22 – I’ve been using PaLM in many processes parallel to GPT, and it seems to be as good. Both systems have flaws, but both seem to produce similar outcomes.

I never saw Bard display the math errors noted by @AgusPG and I wonder if they’ve dialed in Bard since then to utilize PaLM more effectively.

In a fully reset chat session, I tested this equation just to be sure.

I still have not been able to see Bard (or PaLM) produce accurate live results from the web. However, this morning Bard was able to get this right, whereas, PaLM could not.

[bill.french]

When I see examples like this, I often wonder, what came before this? Is it the result of previous prompt injections? Or behaviors from some other unintended context?

[curt.kennedy]

1 + 1 = 0 (mod 2).

There are other modes of math that it may have been trained on that could be confusing the model. Especially stuff beyond what is taught in grade school, which I hope is the case!

[Master_Of_Nothing]

QUESTION: With Bard AI and others being free and offering even image creation…im left wondering what sets GPT apart from others with the same, if not more appealing options? what value does $20 provide? plugins? big deal…someone give me a contrasting opinion? I know that bard isn’t perfect, but it’s only going to get better.

[ksaid.79]

Bard in current form is in no way shape or form close to GPT 3.5 IMO let alone GPT-4, so it shouldn’t be even in the conversation.

the 20$ will give you access to plugins, with plugins you can do useful and amazing things, trust me here. I gave GPT-4 access to my DevBox and the word magic is becoming a day to day synonymous of what it can do.

But I hear you on so many issues OpenAI has to fix and get right, specially on the Cap side as it basically render it useless for so many tasks that it can do and hinder ability to effectively test it.

For me I’ll stick with them, if you can afford the 20$ a month, consider it as buying a cup of coffee to couple developers over there and hope for the best while you explore the capabilities of the model and what it can do.

[bill.french]

@ksaid.79

access to plugins …

Plug-ins can only be included as an advantage if you are bound to OpenAI’s UIs. Vastly, AI solutions are not being built in chat systems designed for humans who type. Furthermore, custom AGI UIs built in things like Google Workspaces sidebars don’t need plugins; the entire Google Cloud Platform is available without complicated integration, latency, or separate security issues.

In every day Google Apps Script I build very complex systems that access Google Search, YouTube, Gmail, and Firebase - all in real time. Plugins are an unnecessary tax on AI innovation.

@ksaid.79

hope for the best while you explore the capabilities of the model and what it can do.

Systems constrained by fees impact innovation. The cost is often far greater than the cash value because you lack the freedom to go nuts on an idea. Google understands this fundamental law of innovation.

@ksaid.79

Bard … shouldn’t be even in the conversation.

Bard is not as accurate as GPT-4 (yet). However, PaLM is darn close. Neither are great, but PaLM is redponding roughly 3x faster that GPT. It also has very few latency issues under load. PaLM, it seams is also more controllable. It can be more easily convinced to behave well.

If all you’re doing is chatting your way to higher productivity, ChatGPT is the better choice. If you’re building integrated AGI systems, GPT-4 and PaLM are comparable with PaLM being free and fast. It is still beta, so if you need production-ready services today, PaLM is not ideal. But it will be very soon.

[N2U]

The reasoning behind paying for ai services like chatGPT and the API, is because they costs a lot of to run.

Personally I’m paying for these services because I find them useful.

[ksaid.79]

I disagree completely on the importance of Plugins unless models advance and gets embedded within the OS/Device/etc…

I don’t know your specific use case, but you know everyone is hyping code interpreter, (and they rightfully should), so basically since I didn’t have access to it yet, I decided to build much better one using plugins and the power of my machine, and the results are beyond impressive for me stunning, if one able to craft a good prompt and guide the AI through the prompts the possibilities are literally endless, basically the limit becomes the human creativity.

With GPT-4 using Plugins, it understand the tool at it’s hand and the context of what it supposed to do to a very good degree and is able to resolve and correct itself across to give solutions for wide variety of problems using creative ideas and methods. I ask it to do difficult things in fields where I’m an expert on, and can validate what it is doing, and many times it surprises me with creative solutions to complex tasks. I also give it memory through ChromaDB and where it should learn from knowledgebase and other some awarness stuff and it is doing pretty good job, more work to do on that front but it is able to learn and retrieve previous context when needed, and it also generate them in a way it can store and retrieve (really mind blowing)

Please tell me anything else in the market right now (apart from Bing) that can do this to the accuracy of GPT-4 model currently available

And also remember that, whatever model released to us as public, is no way closer to the one in the AGI paper which is cited over there. so as they get more control on this alignment thingy, I think it will be a matter of time where more powerful models will be unleashed.

People underestimate the power of plugins or thinking of it from the perspective of the store plugins but actually what’s in the store right now just act as a transition to the new Internet post AI, people will take time to adapt but they will get used to it because it is more convenient in many use case.

But back to plugins, and giving GPT-4 access to tools as I’m experiencing it right now, is something I’ve never seen before and suddenly can really relates to what some serious folks are saying about it on news.

Please take a peek at the AGI paper on what the raw model did when it get access to tools and the external world.

For Google and Palm I’m in the waiting list, so will see, but I really wanna see something, right now, only talks and haven’t seen something materialize or an interesting use case so far.

Competition is good anyway and it is for our benefit, but IMO I still think these folks in OpenAI deserves the 20$ a month and they are still ahead